CN108304069B - Image processing method and system based on EEG signals - Google Patents
Image processing method and system based on EEG signals Download PDFInfo
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- CN108304069B CN108304069B CN201810097496.7A CN201810097496A CN108304069B CN 108304069 B CN108304069 B CN 108304069B CN 201810097496 A CN201810097496 A CN 201810097496A CN 108304069 B CN108304069 B CN 108304069B
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/015—Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
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- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
- G06F3/04845—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/40—Filling a planar surface by adding surface attributes, e.g. colour or texture
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Abstract
The present invention provides a kind of image processing method and system based on EEG signals, which comprises obtain image to be matched colors；Image wait match colors is divided at least one behind the region matched colors, shows at least one described region to be matched colors；For each region to be matched colors, the corresponding EEG signals in region to be matched colors being determined, determining the corresponding color segment of the EEG signals, according to the corresponding color segment of the EEG signals having determined that, the region to be matched colors to this is matched colors.In the present invention, the foundation of the EEG signals of region to be matched colors and user is contacted, it successfully realizes and is intended to the thought of people to be converted into the technical goal of electronic image, and this method allows users to the mode transmitted by eeg signal, implement Colour selection, color matching on the human-computer interaction interface for including computer screen for figure, and then gives expression to the current color preference of user, thought or intention.
Description
Technical field
The present invention relates to technical field of image processing, specifically, the present invention relates to a kind of images based on EEG signals
Processing method and system.
Background technique
Brain electric control technology, which refers to, realizes information input with brain wave control computer, usually uses a kind of by image title
Make the human-computer interaction technology of " brain-computer interface ".The technology is by acquiring the electric signal generated in human thinking activity, then to this
A little signals are analyzed, and determine the intention of user, and be converted into control command to control the smart machines such as computer.Mesh
Before, using brain electric control technology, oneself develops some application systems or product, for example, directly being realized using brain wave control technology
Control to smart machines such as wheelchair, household electrical appliance.
However, more and more people be no longer satisfied with it is conventional using eeg signal progress Mechanical course or operation,
But want to by eeg signal transmit mode on computer screen or in other man-machine interfaces directly or indirectly
Ground gives expression to intention, thought or intention.
Summary of the invention
It can not express thoughts by eeg signal and the technical issues of intention and defect for of the existing technology, this
Invention provides a kind of image processing method and system based on eeg signal, is believed with helping user to realize using brain wave
Number, the hope of thought or intention is given expression in a manner of drawing.
Technical solution of the present invention is as follows:
The embodiment of the present invention provides a kind of image processing method based on EEG signals according to first aspect, comprising:
Obtain image to be matched colors；
The image wait match colors is divided at least one behind the region matched colors, at least one waits matching colors described in display
Region；
For each region to be matched colors, the corresponding EEG signals in region to be matched colors are determined, determine brain electricity
The corresponding color segment of signal, according to the color segment, the region to be matched colors to this is matched colors.
Preferably, described for each region to be matched colors, it determines the corresponding EEG signals in region to be matched colors, wraps
It includes:
According to the selected operation of user or preassigned selected mode, current region to be matched colors is determined；
The current region to be matched colors is highlighted, and acquires the EEG signals of the user as described to be matched colors
The corresponding current EEG signals of current region.
Preferably, described that the image wait match colors is divided at least one behind the region matched colors, and described in display
Before at least one region to be matched colors further include:
Judge whether the current display color at least one region to be matched colors described in removing；If so, adjusting respectively wait match
The current display color in color region is to designated color.
It is preferably, described to determine the corresponding color segment of the EEG signals, comprising:
In the corresponding relationship of the multiple EEG signals and color segment that are obtained from preparatory training, determine described when forebrain electricity
The corresponding color segment of signal, as current color segment.
It is preferably, described to determine the corresponding color segment of the EEG signals, further includes:
From the strength grade of multiple EEG signals and the brightness degree corresponding relationship of color segment that preparatory training obtains,
The corresponding brightness degree of current intensity level for determining the current EEG signals, as the current of the current color segment
Brightness degree.
Preferably, the region to be matched colors to this according to the color segment is matched colors, comprising:
According to the current color segment, the region to be matched colors to this is filled.
Preferably, a kind of image processing method based on EEG signals that the embodiment of the present invention is provided according to first aspect
Method, further includes: the multiple recommendation color matching information for characterizing different artist's schools of display；
The correspondence for recommending color matching information based on multiple EEG signals artist's school different from characterization that preparatory training obtains
In relationship, artist's school corresponding to the current EEG signals is determined, as current selected artist's school.
Further, the color segment includes following at least one forms of expression: filling coloured assignment graph, tool
Coloured specified lines.
Preferably, described that the image to be matched colors is divided at least one region to be matched colors, it specifically includes:
Determine the edge point set of multiple objects in the image to be matched colors；
The profile of each object is extracted from the edge point set of the multiple object；
Region shared by each object is carried out according to the profile of each object to separate processing, obtains that described at least one to be to be matched colors
Region.
Based on the same inventive concept, the embodiment of the present invention provides a kind of figure based on EEG signals according to the second aspect
As processing system, comprising:
Brain wave collector is covered in user's head surface；
Display device；
Signal processing circuit is electrically connected with the brain wave collector and display device respectively；
Memory is electrically connected with the signal processing circuit；
At least one program is stored in the memory, is configured as being executed by the signal processing circuit, for real
Existing following step:
Obtain image to be matched colors；
The image wait match colors is divided at least one behind the region matched colors, institute is shown in the display device
State at least one region to be matched colors；
For each region to be matched colors, the brain wave collector region pair that should be to be matched colors collected is determined
The EEG signals answered determine the corresponding color segment of the EEG signals, according to the color segment region to be matched colors to this
It matches colors.
In the embodiment of the present invention, the human-computer interaction interface that display device passes through shows at least one region to be matched colors,
Reaction can be generated after a certain color segment of user's current fixation, generates corresponding EEG signals.For each area to be matched colors
The corresponding EEG signals in region to be matched colors are determined in domain, the corresponding color segment of the EEG signals are determined, to establish
Color segment and wait the corresponding relationship between region of matching colors determines being intended that treat using corresponding color segment and matching for user
The region of color is filled, and then is realized and treated the technical purpose that the region of color matching is matched colors based on EEG signals, thus
User can be helped to realize the hope for by eeg signal, giving expression in the way of drawing thought or intention.
Another angle, due to the embodiment of the present invention can by brain-machine interaction express user drawing in terms of hobby, because
This is also used as a kind of means of medical consultations, i.e., for judging that patient sinks into comatose state and is in certain body
" lock state ", this diagnosis and treatment method be suitable for feeling oneself body can not move but the patient population still regained consciousness of thinking
Body.
The additional aspect of the present invention and advantage will be set forth in part in the description, these will become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments
Obviously and it is readily appreciated that, in which:
Fig. 1 is the main flow schematic diagram of the image processing method based on EEG signals of the embodiment of the present invention.
Fig. 2 is the main flow schematic diagram of the marginal point of the detection processing object of the embodiment of the present invention.
Fig. 3 is the main flow schematic diagram in the selected region to be matched colors of the embodiment of the present invention.
Fig. 4 is the color matching of basis involved in the brain electricity match color procedure of embodiment of the present invention element exemplary diagram.
Fig. 5 is the flow diagram that color matching adjusting is realized based on EEG signals intensity of the embodiment of the present invention.
Fig. 6 is the operating process schematic diagram that artist's school based on recommendation of the embodiment of the present invention is matched colors.
Specific embodiment
In order to solve, it is desirable to thought, intention, hobby etc. are given expression on human-computer interaction interface by eeg signal
Technical problem, the present inventor provide image processing method and system based on EEG signals, and the work of this method is former
Reason is the different peak values by sensing the eeg signal of user, with this be intended to expression thought or intention by computerized color matching or
It is shown on the human-computer interaction interface of the mode of brain electricity drawing in front of the user.At image based on EEG signals of the invention
Reason method, comprising:
Obtain image to be matched colors；Image wait match colors is divided at least one behind the region matched colors, display is at least
One region to be matched colors；For each region to be matched colors, the corresponding EEG signals in region to be matched colors are determined, determine
The corresponding color segment of the EEG signals out, according to the color segment, the region to be matched colors to this is matched colors.
The above method provided by the invention contacts the foundation of the EEG signals of region to be matched colors and user, successfully realizes
The thought of people is intended to be converted into the technical goal of electronic image, and this method provides complete set, the color matching of specific brain electricity
Operating process allows users to the mode transmitted by eeg signal, in the human-computer interaction interface including computer screen
It is upper to implement Colour selection, color matching for figure, and then give expression to the current color preference of user, thought or intention.
Detailed description of the present invention embodiment with reference to the accompanying drawing, examples of the embodiments are shown in the accompanying drawings, wherein
Same or similar label indicates same or similar element or element with the same or similar functions from beginning to end.Lead to below
It crosses the embodiment being described with reference to the drawings to be exemplary, for explaining only the invention, and be not construed as limiting the claims.
Fig. 1 is the main flow schematic diagram of the image processing method based on EEG signals of the embodiment of the present invention.Such as Fig. 1 institute
Show, this method is main comprising the following three steps:
S101 obtains image to be matched colors.
Image wait match colors is divided at least one behind the region matched colors by S102, shows at least one area to be matched colors
Domain.
Specifically, image to be matched colors is divided at least one region to be matched colors detailed process is as follows:
Determine the edge point set of multiple objects in image to be matched colors.Object herein include target object and/
Or background.
The set of marginal point constitutes the edge of image.Edge refers to that image local changes most significant part, edge master
It is present in target and target, between target and background.Edge embody be image local feature discontinuity, such as gray scale
Mutation, the mutation of texture structure, the mutation etc. of color.Although the marginal point Producing reason for constituting image border is different,
These marginal points belong to that the gray scale on figure is discontinuous or gray scale point jumpy.
The specific method of the marginal point of test object is discussed in detail subsequent, does not repeat herein.
Preferably, after determining the edge being made of the edge point set of multiple objects, from the marginal point of multiple objects
The profile of each object is extracted in set.Wherein, there are many modes of contours extract, one kind is temporarily enumerated here and is explained: first
The noise in image is filtered out by smoothing processing, be then based on differentiate rule to the marginal point after noise reduction one by one into
Perhaps the zero passage for acquiring maximum of gradients or second dervative is chosen in second-order differential operation to row first differential from operation result
Point, finally rule of thumb or the profile for needing to choose threshold value appropriate and extracting each object of practical operation.
Specifically, region shared by each object is carried out according to the profile of each object separating processing, obtains at least one and waits matching
The region of color.
Fig. 3 is the main flow schematic diagram in the selected region to be matched colors of the embodiment of the present invention.As shown in figure 3, from wait match
The profile of each object is extracted in the edge point set of multiple objects of the image of color.After obtaining the profile of object, by each object
Profile carry out separating processing, by the differently contoured occupied band of position labeled as 1 to N number of region to be matched colors.For example, will
Selected zone marker to be matched colors is region M (i.e. m-th region to be matched colors, M is greater than 1, and M is less than N), computer system
Default zone M is region to be matched colors.
Preferably, the image wait match colors is divided at least one behind the region matched colors, and shows that at least one waits matching
Before the region of color further include: judge whether to remove the current display color at least one region to be matched colors；If so, adjusting
Respectively the current display color in region to be matched colors is to designated color.
Specifically, before the region to be matched colors for needing to have selected some carries out color matching processing, it is first determined whether
Color inside region to be matched colors is removed, or is directly covered.If the determination result is YES, then region to be matched colors is removed
Original color matching." internal point of region M is all adjusted to white " enumerated in one of mode of original color matching i.e. Fig. 3 is removed, or
The corresponding color parameter of point (R, G, B) in the M of region is adjusted to (0,0,0) by person.If judging result be it is no, do not change color matching
Region original color matching.
It should be noted that this operation of selected region to be matched colors both can by include eye control, and/or touch-control and/
Or the physical control mode of mouse control, and/or Keyboard Control is realized, and can be according to including sequential selection and/or random choosing
The software-controlled manner for the procedure auto-control selected is realized.
After determining region to be matched colors, using brain-computer interface, scheme of colour selection is carried out in conjunction with EEG signals.
S103 determines the corresponding EEG signals in region to be matched colors, determines this for each region to be matched colors
The corresponding color segment of EEG signals, according to color segment, the region to be matched colors to this is matched colors.
Preferably for each region to be matched colors, the corresponding EEG signals in region to be matched colors are determined, comprising:
According to the selected operation of user or preassigned selected mode, current region to be matched colors is determined；It highlights and has determined that
The current region of out to be matched colors, and the EEG signals for acquiring user are corresponding when forebrain telecommunications as current region to be matched colors
Number.
Preferably, the embodiment of the present invention provides a variety of methods for determining the corresponding color segment of EEG signals.It is a kind of true
The method for making the corresponding color segment of EEG signals, comprising: the multiple EEG signals and color segment obtained from preparatory training
Corresponding relationship in, the corresponding color segment of current EEG signals is determined, as current color segment.
Preferably, the color segment of the embodiment of the present invention includes following at least one forms of expression: filling coloured finger
Determine figure, the coloured specified lines of tool.
Preferably, the corresponding color segment of EEG signals is determined, further includes:
From the strength grade of multiple EEG signals and the brightness degree corresponding relationship of color segment that preparatory training obtains,
Determine the corresponding brightness degree of the current intensity level of current EEG signals, the present intensity etc. as current color segment
Grade.
Fig. 4 is the color matching of basis involved in the brain electricity match color procedure of embodiment of the present invention element exemplary diagram.Below with reference to attached
Fig. 4 introduces the incidence relation between EEG signals strength grade and colour brightness grade.
RGB is a kind of color standard of industry as color mode, is by red (R), green (G), blue (B) three face
To obtain miscellaneous color, RGB is to represent red, green, blue for the variation of chrominance channel and their mutual superpositions
The color in three channels, this standard almost include all colours that human eyesight can perceive, and are current with most wide
One of color system.
The brain electric strength of the embodiment of the present invention can be divided into the multiple grades from 0-100, the adjustable range of the color of RGB
In the numberical range of 0-255, according to the actual demand or hardware condition of color matching by the adjusting number of the intensity of EEG signals and RBG
Value presets proportional corresponding relationship, so that realizing between the strength grade of EEG signals and the brightness degree of color segment
Association.It corresponds to tri- kinds of colors of RGB to be modified according to the intensity of EEG signals respectively, realizes that the color matching of RGB is adjusted.Work as determination
Out after the brightness degree of color corresponding to current EEG signals, the brightness degree as current color is saved.Finally
The brightness degree of the selected color of user is shown in a manner of with colour disk on the screen.
With reference to the accompanying drawing 5 introduce the embodiment of the present invention based on EEG signals intensity realize color matching adjust main stream
Journey.Specifically, after the interactive interface for initially entering selected color matching, segment is displayed in red on human-computer interaction interface, i.e., with red
Color as the channel currently shown.When user watches the red segment on human-computer interaction interface attentively, at the same time, include
There is the brain wave collector of the computer system electrical connection of signal processing circuit to sense the Strength Changes of user's EEG signals.
Since training in advance has obtained the corresponding relationship of the strength grade of EEG signals and the brightness degree of color segment, meter
Calculation machine system is from the strength grade of multiple EEG signals and the brightness degree corresponding relationship of color segment that preparatory training obtains
The brightness degree that can quickly determine the corresponding color of the current intensity level of current EEG signals, identifies that user works as forebrain
The intention of electric signal modification color to be expressed, so that it is simultaneously and dynamically right to judge that current EEG signals judge whether to need
The brightness degree of red segment should be modified, when the judgment result is yes, man-machine interface is jumped to and is displayed in red segment, until judgement
As a result be it is no, illustrate that the color currently shown is customer satisfaction system effect, modified without continuing, carry out next color segment
The modification of brightness degree.
Preferably, another method for determining the corresponding color segment of EEG signals includes:
Show multiple recommendation color matching information for characterizing different artist's schools；
The correspondence for recommending color matching information based on multiple EEG signals artist's school different from characterization that preparatory training obtains
In relationship, the recommendation color matching information of associated artist's school corresponding to current EEG signals is determined, as current selected artist
The recommendation color matching information of school.
Fig. 6 is the operating process schematic diagram that artist's school based on recommendation of the embodiment of the present invention is matched colors.
After determining current region wait match colors, brain-computer interface is utilized to carry out scheme of colour selection, it is preferable that according to prestoring
The personal data data of user in the database of computer system, the paintings type that analysis user likes, or carry out wind
Lattice are recommended.The relatively straightforward way of recommendation is to show multiple to characterize different artist's schools on human-computer interaction interface (i.e. screen)
Recommend color matching information.The EEG signals for being then based on vision induction are detected, i.e., by multiple EEG signals and characterization not cocurrent flow
The recommendation color matching corresponding association of information of group.When rolling highlights the information of various artist's schools on screen, user is being connect
The EEG signals of brain wave collector different wave can be fed back to when receiving these information.It include the calculating of signal processing circuit
Corresponding the closing of the recommendation color matching information for multiple EEG signals artist's school different from characterization that machine system is obtained based on preparatory training
In system, determine that detection obtains the recommendation color matching information of associated artist's school corresponding to current EEG signals, as current choosing
The recommendation color matching information of fixed artist's school.Judge whether selected artist's school, if so, on the screen in a manner of with colour disk
Show the recommendation color matching information of the selected artist's school of user；Otherwise it jumps to roll on human-computer interaction interface and highlight
The step of recommendation color matching information of various artist's schools.
After interface enters drafting color matching interface, color matching is carried out according to selection area and is drawn a picture.
Specifically, it is matched colors according to the color segment region to be matched colors to this, comprising:
According to current color segment associated with the strength grade of EEG signals to the region to be matched colors selected into
Row filling.
Preferably, after interface enters drafting color matching interface, color matching is carried out according to selection area and is drawn a picture.For example, color matching
For lines, the segment form of fusion or other forms.
Specifically, when brain wave collector detects EEG signals, by EEG signals and lines, fusion or other shapes
The segment of formula is matched, and is linked by Database, when EEG signals are matched colors with the preset corresponding response in database
When lines match, corresponding lines is called to carry out drawing filling.
Also, in the multiple training that EEG signals match with corresponding lines, computer system can be subsequently formed
It is identified with the bargraphs library of corresponding brain electricity difference level of interest, draws a picture for the later brain electricity intelligence of user and material is provided.
The method that the marginal point of test object in S102 of the embodiment of the present invention is described below, the flow diagram of this method is such as
Shown in Fig. 2, include the following steps:
S201 reduces the noise of image to be matched colors.
Specifically, preset filtering method is selected to filter out the noise in image to be matched colors.
S202 determines the gradient magnitude of the specified parameter of each pixel in image to be matched colors.
The present inventor is it is considered that need to search out the side of each object (target or background) in image to be matched colors
Edge, edge refer to that image local changes most significant part, and edge is primarily present between target and target and target and background
Between, it is the discontinuity of image local feature, such as the mutation of gray scale, the mutation of texture structure, the mutation of color, as far as possible object
Marginal point Producing reason it is different, but these marginal points are all that gray scale is discontinuous or gray scale point jumpy on image.
Preferably, the gradient magnitude of the gray scale of each pixel, texture structure or color in image to be matched colors is determined.
S203 determines that gradient magnitude meets multiple pixels of preset range, as multiple in image to be matched colors
The candidate edge point set of object.
The biggish pixel of gradient magnitude of specified parameter is probably the marginal point of some target.Accordingly, it is determined that
Gradient magnitude meets multiple pixels of preset range out.
Preferably, carrying out enhancing processing to the gradient amplitude of the specified parameter of pixel.For example, after by adjusting denoising
The meter of each pixel and the shade of gray amplitude of its neighborhood (the specified number pixel region adjacent with the pixel)
Calculation method highlights the pixel that neighborhood shade of gray amplitude has significant change.
Preferably, by the gradient amplitude of each pixel (or enhancing treated gradient amplitude), with the gradient amplitude
Preset range (such as gradient amplitude threshold value) be compared, determine that gradient magnitude meets multiple pixels of preset range,
Candidate edge point set as multiple objects in image to be matched colors.
Here the benchmark principle of the setting of threshold range is can to filter out by the preset threshold range and face domain ash
Spend the pixel having significant change.
S204 determines the marginal point of each object from candidate edge point set.
From candidate edge point set, remove isolated point, determine multiple objects edge point set or each object
Marginal point.
Based on the same inventive concept, the embodiment of the present invention also provides a kind of image processing system based on EEG signals, packet
It includes:
Brain wave collector is covered in user's head surface；
Display device；
Signal processing circuit is electrically connected with the brain wave collector and display device respectively；
Memory is electrically connected with signal processing circuit；
At least one program, is stored in memory, and is configured as being executed by signal processing circuit, for realizing following steps
It is rapid:
Obtain image to be matched colors；
The image wait matching colors is divided at least one behind the region matched colors, shows at least one in a display device
Region to be matched colors；
For each region to be matched colors, determine that brain wave collector region that should be to be matched colors collected is corresponding
EEG signals determine the corresponding color segment of the EEG signals, and according to the color segment, the region to be matched colors to this is matched
Color.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singular " one " used herein, " one
It is a ", " described " and "the" may also comprise plural form.It is to be further understood that being arranged used in specification of the invention
Diction " comprising " refer to that there are the feature, integer, step, operation, element and/or component, but it is not excluded that in the presence of or addition
At least one other feature, integer, step, operation, element, component and/or their group.It should be understood that when we claim element
It is " connected " or when " coupled " to another element, it can be directly connected or coupled to other elements, or there may also be in
Between element.In addition, " connection " used herein or " coupling " may include being wirelessly connected or wirelessly coupling.Wording used herein
"and/or" includes one or more associated wholes for listing item or any cell and all combinations.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art
Language and scientific term), there is meaning identical with the general understanding of those of ordinary skill in fields of the present invention.Should also
Understand, those terms such as defined in the general dictionary, it should be understood that have in the context of the prior art
The consistent meaning of meaning, and unless idealization or meaning too formal otherwise will not be used by specific definitions as here
To explain.
The above is only some embodiments of the invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of image processing method based on EEG signals characterized by comprising
Obtain image to be matched colors；
The image wait match colors is divided at least one behind the region matched colors, shows at least one described area to be matched colors
Domain；
For each region to be matched colors, the corresponding EEG signals in region to be matched colors are determined, by sensing the brain electricity
The different peak values of signal determine the corresponding color segment of the EEG signals, according to the color segment area to be matched colors to this
It matches colors in domain.
2. the method according to claim 1, wherein described for each region to be matched colors, determine this to
The corresponding EEG signals in the region of color matching, comprising:
According to the selected operation of user or preassigned selected mode, current region to be matched colors is determined；
The current region to be matched colors is highlighted, and it is to be matched colors current as described in acquire the EEG signals of the user
The corresponding current EEG signals in region.
3. the method according to claim 1, wherein described be divided at least one for the image to be matched colors
Behind the region matched colors, and before at least one described region to be matched colors of display further include:
Judge whether the current display color at least one region to be matched colors described in removing；If so, adjusting respectively area to be matched colors
The current display color in domain is to designated color.
4. according to the method described in claim 2, it is characterized in that, described determine the corresponding color segment of the EEG signals,
Include:
In the corresponding relationship of the multiple EEG signals and color segment that obtain from preparatory training, the current EEG signals are determined
Corresponding color segment, as current color segment.
5. according to the method described in claim 4, it is characterized by further comprising:
From the strength grade of multiple EEG signals and the brightness degree corresponding relationship of color segment that preparatory training obtains, determine
The corresponding brightness degree of current intensity level of the current EEG signals out, the present intensity as the current color segment
Grade.
6. according to the method described in claim 4, it is characterized in that, the region to be matched colors to this according to the color segment
It matches colors, comprising:
According to the current color segment, the region to be matched colors to this is filled.
7. according to the method described in claim 2, it is characterized by further comprising:
Show multiple recommendation color matching information for characterizing different artist's schools；
The corresponding relationship for recommending color matching information based on multiple EEG signals artist's school different from characterization that preparatory training obtains
In, artist's school corresponding to the current EEG signals is determined, as current selected artist's school.
8. the method according to claim 1, wherein the color segment includes following at least one performance shapes
Coloured assignment graph, the coloured specified lines of tool are filled likes:.
9. the method according to claim 1, wherein described be divided at least one for the image to be matched colors
Region to be matched colors, specifically includes:
Determine the edge point set of multiple objects in the image to be matched colors；
The profile of each object is extracted from the edge point set of the multiple object；
Region shared by each object is carried out according to the profile of each object to separate processing, obtains at least one described area to be matched colors
Domain.
10. a kind of image processing system based on EEG signals characterized by comprising
Brain wave collector is covered in user's head surface；
Display device；
Signal processing circuit is electrically connected with the brain wave collector and display device respectively；
Memory is electrically connected with the signal processing circuit；
At least one program is stored in the memory, is configured as being executed by the signal processing circuit, for realizing under
State step:
Obtain image to be matched colors；
The image wait match colors is divided at least one behind the region matched colors, display is described extremely in the display device
A few region to be matched colors；
For each region to be matched colors, determine that the brain wave collector region that should be to be matched colors collected is corresponding
EEG signals determine the corresponding color segment of the EEG signals, according to institute by sensing the different peak values of the EEG signals
The color segment region to be matched colors to this is stated to match colors.
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