KR101711708B1 - Method and apparatus for detecting center point of region in OCT image - Google Patents

Abstract

A method and an apparatus for detecting a center point of an area in an OCT image are provided. According to an embodiment of the present invention, there is provided a method of detecting a center point of an area in an OCT image, comprising: obtaining an OCT image; Binarizing the acquired image by a predetermined threshold value; Selecting an area to be detected from the binarized image as a candidate point; Tracking each border point of the region to be detected while expanding in the cross direction with respect to each candidate point; And calculating a candidate point having a maximum distance from each candidate point to the boundary point as a center point.

Description

[0001] The present invention relates to a method and a device for detecting a center point of an area in an OCT image,

The present invention relates to a method and apparatus for detecting a center point of an area in an OCT image, and more particularly, to a method and an apparatus for detecting a center point of an area in an OCT image for detecting a foreign object area in the OCT image.

Recently, the use of simple optical coherence tomography (OCT) has been attempted in the field of medical imaging, rather than computerized tomography or magnetic resonance imaging.

Optical coherence tomography is a device for obtaining low-coherence light on multiple scattering materials such as living bodies and detecting reflected light from a material to obtain a tomographic image. Due to the accurate generation of the image, the scope of the product inspection field is expanding.

On the other hand, when inspecting a product, it is important to identify a foreign object formed on the surface of a product to be inspected. However, a method of discriminating a foreign object region from a captured image requires calculation for a large number of pixels, The calculation of the position and size of the area is complicated.

KR 0657867 B

According to an aspect of the present invention, there is provided an OCT image processing method and apparatus capable of performing parallel processing using a GPU for designating a position of a plurality of regions and calculating a size of a corresponding region in an OCT image, A method of detecting a center point of a region and an apparatus therefor.

According to an aspect of the present invention, there is provided a method of detecting a center point of an area in an OCT image. A method of detecting a center point of an area in an OCT image includes: obtaining an OCT image; Binarizing the acquired image by a predetermined threshold value; Selecting an area to be detected from the binarized image as a candidate point; Tracking each border point of the region to be detected while expanding in the cross direction with respect to each candidate point; And calculating a candidate point having a maximum distance from the candidate points to the boundary point as a center point.

In one embodiment, the region to be detected has a brightness of "1 " and may be a region corresponding to a foreign substance.

In one embodiment, the tracking step may include determining whether a position expanded by one pixel in a vertical or horizontal direction with respect to an arbitrary candidate point has the same brightness as the area to be detected; Calculating a distance to the boundary point with respect to the corresponding candidate point when each of the expanded positions is different in brightness from the area to be detected; And expanding the tracking range in the direction of the same brightness when the brightness of each of the extended positions with respect to the corresponding candidate point is the same brightness as the brightness of the area to be detected with respect to at least one direction have.

In one embodiment, the step of calculating the center point may include determining whether the distance to the boundary point of the corresponding candidate point is larger than the distance to the boundary point of the previously registered center point; Registering the corresponding candidate point as a new center point when the distance to the boundary point of the corresponding candidate point is larger than the distance to the boundary point of the previously registered center point; And removing the corresponding candidate point when the distance to the boundary point of the corresponding candidate point is smaller than the distance to the boundary point of the previously registered center point.

In one embodiment, the tracking may be performed in parallel for each of the candidate points.

According to another aspect of the present invention, there is provided an apparatus for detecting a center point of an area in an OCT image. An apparatus for detecting a center point of an area in the OCT image includes an image storage unit for storing the obtained OCT image; A binarization image calculator for binarizing the stored image by a predetermined threshold value to select an area to be detected as a candidate point; A tracking unit extending in the cross direction with respect to each candidate point and tracking the boundary point of the region to be detected; And a center point calculating unit for calculating a candidate point having a maximum distance from each of the candidate points to the boundary point as a center point.

In one embodiment, the tracking unit may include: a determination unit that determines whether a position expanded by one pixel in a vertical or horizontal direction based on an arbitrary candidate point has the same brightness as the area to be detected; A maximum distance calculating unit for calculating a distance to the boundary point with respect to the corresponding candidate point when each of the expanded positions of the corresponding candidate point is different from all of the areas to be detected; And a tracking range adjuster for expanding the tracking range in the same brightness direction when the brightness of each of the extended positions with respect to the corresponding candidate point is the same brightness as at least one direction with respect to the brightness of the area to be detected can do.

In one embodiment, the center point calculating unit determines whether the distance to the boundary point of the corresponding candidate point is larger than the distance to the boundary point of the previously registered center point, and if the distance to the boundary point of the corresponding candidate point is larger than the distance When the distance to the boundary point of the corresponding candidate point is smaller than the distance to the boundary point of the previously registered center point, The candidate point can be removed.

In one embodiment, the tracking unit can perform parallel processing on each of the candidate points.

The method and apparatus for detecting a center point of an area in an OCT image according to an exemplary embodiment of the present invention can be performed independently without influence between candidate points in determining a center point for a candidate point, So that high-speed operation can be performed.

 Further, according to an embodiment of the present invention, it is possible to detect a closed area of a designated size at a designated position in the OCT image analysis, thereby determining whether or not to detect a foreign substance at a specific position, .

 In addition, one embodiment of the present invention can be applied to product defect inspection, so that the product combination inspection can be performed at high speed, thereby shortening the inspection time of the product, thereby improving the production yield of the product.

1 is a schematic block diagram of an OCT system according to an embodiment of the present invention.
2 is a flowchart illustrating a method of detecting a center point of an area in an OCT image according to an embodiment of the present invention.
3 is a flowchart showing the detailed configuration of the cross-directional area tracking of FIG.
4 is a conceptual diagram for explaining the tracking of the cross-directional region of FIG. 3;
5 is an example of detection of a center point used in a method of detecting a center point of an area in an OCT image according to an embodiment of the present invention.
6 is a block diagram illustrating a detailed configuration of an apparatus for detecting a center point of an OCT image according to an exemplary embodiment of the present invention.
7 is a block diagram showing the detailed configuration of the tracking unit of FIG.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art to which the present invention pertains. The present invention may be embodied in many different forms and is not limited to the embodiments described herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and the same or similar components are denoted by the same reference numerals throughout the specification.

1 is a schematic block diagram of an OCT system according to an embodiment of the present invention. Hereinafter, an OCT system according to an embodiment of the present invention will be described in detail with reference to the drawings.

Referring to FIG. 1, an OCT system according to an embodiment of the present invention includes an optical coherence tomography apparatus 10, a center point detection apparatus 20, and an object to be examined 30. Here, the object 30 to be inspected may be a product for inspection of a foreign object.

The optical coherence tomography apparatus 10 includes a light source 110, an optical coupler 120, a reference unit 130, a scanning probe 140, and a tomographic imaging unit 150.

The light source 110 can generate light having a wide optical bandwidth and a short interference length, such as light having an interference length of about several micrometers. For example, the light source has a near-infrared wavelength band (800 nm to 1550 nm) with a center wavelength of 840 nm, a full width half maximum (FWHM) of 50 nm and a maximum output power of 5.3 mW have.

The optical coupler 120 may receive the light generated from the light source 110, divide the received light, and transmit the split light to the reference unit 130 and the scanning probe 140 through the optical fiber. The optical coupler 120 may transmit the first reflected light from the reference unit 130 and the second reflected light from the scanning probe 140 to the optical tomography unit 150.

The reference unit 130 receives the divided light from the optical coupler 120 and performs phase scanning and reflection to transmit the first reflected light to the optical coupler 120. The reference unit 130 includes a collimator 132, And a reference mirror 136.

More specifically, the collimator 132 receives the light emitted from the optical coupler 120, converts the light into parallel light, and outputs the parallel light to the focusing lens 134. The focusing lens 134 can adjust the focus distance of the parallel light so that the parallel light converted through the collimator 132 converges into one focus. The reference mirror 136 can change the optical path by receiving the light collected in one focus through the focusing lens 134 and then reflecting the generated first reflected light to the focusing lens 134 again.

The scanning probe 140 can transmit the second reflected light from the inspection object 30 to the optical coupler 120 by irradiating the light to be inspected 30 by splitting the incident light from the optical coupler 120, A scan mirror 142, a scanning mirror 144, and a scan lens 146.

More specifically, the collimator 142 is divided through the optical coupler 120 and receives incident light to convert the light into parallel light. The scanning mirror 144 receives the collimated light from the collimator 142 to change the optical path of the balanced light, irradiates the light to the inspection target 30, and scans the second reflected light reflected from the inspection target 30 The optical path of the second reflected light can be changed and transmitted to the optical coupler 120. [ The scan lens 146 can adjust the focus of the light so that the light irradiated through the scanning mirror 144 is irradiated to the inspection target 30 with one focus.

The optical tomographic imaging unit 150 converts the first reflected light and the second reflected light incident from the optical coupler 120 into electrical signals to generate an OCT image for the object 30 to be inspected. The collimator 152 ), A diffraction grating 154, a focusing lens 156, and a line scan camera 158.

More specifically, the collimator 152 receives the first reflected light and the second reflected light reflected from the reference unit 130 and the scanning probe 140 through the optical coupler 120, and converts the first reflected light and the second reflected light into parallel light . The diffraction grating 154 can receive the converted balanced light through the collimator 152 and diffract it by wavelength. The focusing lens 156 can adjust the focus distance of the parallel light so that the parallel light diffracted through the diffraction grating 154 is gathered into one focus according to each wavelength band. The line scan camera 158 can scan the light collected in one focus according to each wavelength band through the focusing lens 156 in a line state to generate an image of the inspection object 30. For example, . ≪ / RTI >

The center-point detector 20 can independently specify the positions of the respective regions with respect to the regions appearing in the OCT image, and can also calculate the sizes of the regions using the cross-direction tracking, so that the region-based analysis is possible. Such a center-point detecting device 20 can be used for collecting the position and size of a corresponding area when collecting a meaningful area such as a foreign object area on the surface of the product, and thus can have an important function in image analysis.

In addition, the center-point detection device 20 is related to area detection in the image processing. The center-point detection device 20 determines whether or not there is an area based on the position, and performs tracking and verification of the center point of the area. Here, the center point of the region is determined through a discrimination operation at every position where the OCT image is binarized by a predetermined threshold value. This discrimination operation is performed by the cross direction region tracking method, and the size of the corresponding region is calculated according to the degree of tracking can do.

Hereinafter, a method of detecting a center point of an area in an OCT image according to an exemplary embodiment of the present invention will be described in detail with reference to FIGS. FIG. 2 is a flowchart illustrating a method of detecting a center point of an area in an OCT image according to an embodiment of the present invention. FIG. 3 is a flowchart illustrating a detailed configuration of the cross- FIG. 5 is an example of detection of a center point used in a method of detecting a center point of an area in an OCT image according to an embodiment of the present invention.

The method 200 for detecting a center point of an area in an OCT image may include a step S201 of obtaining an OCT image, a step S202 of binarizing an OCT image, a step S203 to S205 of tracking a cross direction region with respect to a candidate point, Calculating a center point in the points (S206 to S209), and calculating a size of the area (S210).

More specifically, as shown in FIG. 2, first, an OCT image can be obtained from the optical coherence tomography apparatus 10 (step S201).

Next, the OCT image acquired from the optical coherence tomography apparatus 10 and stored in the central point detecting apparatus 20 can be binarized by a predetermined threshold value (step S202). Assuming that the size of the OCT image is R x C (R, C is a natural number) and the coordinate values of each pixel are r, c, the binarized image B can be expressed by the following equation.

Here, T is the threshold value of the binarized image, and I (r, c) is the brightness at the coordinates (r, c) of the pixel.

Next, an area to be detected from the binarized image can be selected as a candidate point (step S203). Here, the region to be detected is a region whose brightness is "1 " in Equation (1), and may be, for example, a region corresponding to a foreign substance. That is, the pixel having the brightness "1" in the above binarized image can be selected as a candidate point for the center point.

Next, an arbitrary candidate point for tracking for the area can be selected (step S204). In FIG. 2, sequential tracking of individual candidate points is described as an example, and one of the selected candidate points is selected to perform tracking. However, when tracking is performed in parallel, the number of parallel processes Can be selected.

Next, the boundary point of the region to be detected can be tracked while extending in the cross direction with respect to the selected candidate point (Step S205). That is, as shown in FIG. 4, the brightness of the pixel for the position is expanded while expanding in the cross direction with respect to both the horizontal and vertical directions about the selected candidate point, and the tracking for the area up to the boundary point where the brightness of the pixel is different Can be performed. In Figure 4, each circle represents a pixel, the black circle is the brightness of "0" in the binarized image, and the white circle is the brightness of "1". Here, the tracking target candidate point C (r, c) is indicated by a gray circle.

Such a tracking step will be described in more detail with reference to FIG.

First, it can be determined whether a position expanded by one pixel in the vertical or horizontal direction with respect to an arbitrary candidate point has the same brightness as an area to be detected (step S301). (R, c-1) and B (r, c + 1), which are positions extended in the cross direction by one pixel with respect to the candidate point C (r, c) 1) and the vertical directions B (r + 1, c) and B (r-1, c).

Next, it is determined whether each of the expanded positions of the candidate point is different from the detected region (step S302). If each of the positions extended for the candidate point is different from the brightness of the region to be detected , I.e., if the corresponding positions have brightness of "0 ", the distance to the boundary point with respect to the candidate point can be calculated (step S303). Here, since the tracking position having a brightness different from that of the area to be detected has brightness of "0 ", it means the area to be detected, that is, the boundary point of the foreign substance area. In other words, when the brightness of the cross-direction tracking positions is all "0", since the maximum tracking range is around the candidate point, the distance from the candidate point to the boundary point can be calculated. When the distance to the boundary point of the candidate point is calculated as described above, the tracking of the corresponding point is terminated and the process can proceed to step S206 of FIG.

If it is determined in step S302 that the brightness of each position extended to the candidate point is the same brightness as the brightness of the area to be detected in at least one direction, If one has the brightness of "1 ", the tracking range can be extended in the same brightness direction (step S304), and the process returns to step S301 to determine the intensity of the position extended in the cross direction with respect to the candidate point . C (r, c-2) and B (r, c), which are positions extended by two pixels with respect to the candidate point C (r, c), as shown in Figs. 4 (r, c) can be extended to the candidate point C (r, c) by three pixels in the vertical direction B (r + 2, c) , That is, the tracking range is gradually expanded in the horizontal directions B (r, c-3) and B (r, c + 3) and the vertical directions B (r + 3, c) and B .

The extension of the tracking range in step S304 and the determination of the corresponding position in step S301 are performed repeatedly until the brightness at the tracking position, that is, the position expanded in the cross direction, is all "0 & .

The step S205 of FIG. 2 and the tracking step of FIG. 3 can be performed in parallel because they are independently configured for each candidate point. That is, in the case where a candidate point is tracked in the cross direction so as to recognize that the candidate point is the center point, the candidate points determined as other candidate points or center points do not influence the determination of whether or not the center point is the center point of the candidate point Therefore, parallel execution is possible for each. Therefore, it can be implemented using GPU (Graphic processing unit) based on parallel processing in order to maximize the tracking performance for a plurality of candidate points. For example, a GPU thread can assign to all candidate points and use the number of threads to determine the tracking position. Here, the binarized image has an actual physical memory address when it is stored in the storage unit of the central point detecting apparatus 20 such as a memory of a computer. Therefore, when the binary image data is sequentially allocated to the linear memory, the physical memory address value of the candidate point can be calculated by using the two-dimensional coordinate value. Also, when the candidate point extends the range of tracking, the addresses of the pixels of the binarized image existing in the horizontal and vertical directions can be calculated.

Referring again to FIG. 1, a candidate point having a maximum distance from the candidate point to the boundary point can be calculated from the center point. For example, it is determined whether the distance to the boundary point of the candidate point tracked in step S205 is larger than the distance to the boundary point of the previously registered center point (step S206), and the distance to the boundary point of the candidate point If it is larger than the distance to the boundary point of the registered center point, the corresponding candidate point can be registered as the new center point (step S207). At this time, if the distance to the boundary point of the candidate point is smaller than the distance to the boundary point of the previously registered center point, the corresponding point is removed and the process returns to step S204 to determine the tracking and center point for the next candidate point Step S206). Here, at the time of initial tracking or determination of the center point, since there is no pre-registered center point, the first selected candidate point can be registered as the center point.

Next, it is judged whether there is no candidate point (step S208). When it is judged that there is no candidate point, that is, when tracking for all candidate points is completed, the finally registered new center point is determined as the center point, (Step S209).

In the example of FIG. 2, it is determined whether or not the center point is determined immediately after the cross direction region tracking in step S205 is performed for each candidate point. However, the present invention is not limited to this case. In the case where the cross direction region tracking is processed in parallel, The center point can be determined by repeating only steps S206 to S208 with respect to the point.

Next, the size of the corresponding area can be calculated based on the center point of the area to be detected (step S210). For example, it is possible to calculate the number of pixels included in the area using the distance to the center point and the boundary point, and thus calculate the size corresponding to the area.

As shown in FIG. 5, since the center point of the area is searched and the size is calculated by using the cross-directional area tracking method, the position and the area of the foreign object in the inspection area can be accurately detected. In FIG. 5, the blue dashed line represents the inspection region, and the circle with the red dotted line represents the region existing within the inspection region by the method of detecting the center point of the region using the cross direction region tracking method according to the embodiment of the present invention. Of the center point and the ellipse based on the size calculated horizontally and vertically at the center point.

According to the method, the method of detecting a center point of an area in an OCT image according to an embodiment of the present invention can be performed independently without influence between candidate points in determining a center point for a candidate point, Speed operation can be performed using the GPU, and it is possible to determine whether or not foreign matter is detected at a specific position. Therefore, the application field can be extended to defect inspection of the product, and the product combination inspection can be performed at a high speed, The production yield of the product can be improved by shortening the inspection time.

The above methods may be implemented by a device 20 for detecting a center of a region in an OCT image as shown in FIG. 1, and in particular, a software program for performing these steps. In this case, May be stored in a computer-readable recording medium or transmitted by a computer data signal coupled with a carrier wave in a transmission medium or a communication network.

At this time, the computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored. For example, ROM, RAM, CD-ROM, DVD-ROM, DVD- , A floppy disk, a hard disk, an optical data storage device, or the like.

Hereinafter, an apparatus for detecting a center point of an area in an OCT image according to an embodiment of the present invention will be described with reference to FIGS. 6 and 7. FIG. FIG. 6 is a block diagram illustrating a detailed configuration of an apparatus for detecting a center point of an OCT image according to an exemplary embodiment of the present invention, and FIG. 7 is a block diagram illustrating a detailed configuration of the tracking unit of FIG.

 The center point detecting apparatus 20 of the region in the OCT image includes an image storing unit 210, a binarized image calculating unit 220, a tracking unit 230, a center point calculating unit 240, and an area calculating unit 250 .

The image storage unit 210 may store the OCT image acquired from the optical coherence tomography apparatus 10. Also, the image storage unit 210 may store the binarized image calculated by the binarization image calculation unit 220.

The binarization image calculation unit 220 may binarize the image stored in the image storage unit 210 according to a predetermined threshold to select a region to be detected as a candidate point. Here, the binarized image can be calculated by Equation (1), and the area to be detected is a pixel having a brightness of "1 ", and may be a region corresponding to a foreign object. In addition, the binarization image calculation unit 220 may store the selected candidate point region in the image storage unit 210.

4, the tracking unit 230 may track the boundary point of the region to be detected while expanding in the cross direction with respect to each candidate point as shown in FIG. 4. As shown in FIG. 7, the tracking range adjusting unit 232, A determination unit 234, and a maximum distance calculation unit 236. [

If the brightness of each position extended to the candidate point is equal to the brightness of the region to be detected with respect to at least one direction, that is, the tracking range adjustment unit 232 has different brightness for the horizontal or vertical direction When the boundary point is not reached, the tracking range can be extended in the direction of the same brightness. For example, the tracking range adjustment unit 232 may extend the tracking range by one pixel in the horizontal or vertical direction until reaching the boundary point of the region to be inspected with respect to the candidate point.

The determination unit 234 can determine whether a position expanded by one pixel in the vertical or horizontal direction has the same brightness as an area to be detected based on an arbitrary candidate point. That is, the determining unit 234 can determine whether the crosswise position of the candidate point is the same as the candidate point or the boundary point. The determination unit 234 can determine whether each of the positions extended to the candidate point is different from the region to be detected in order to adjust the range of the tracking or calculate the maximum distance.

The maximum distance calculating unit 236 can calculate the distance to the boundary point of the candidate point when each of the positions extended for the candidate point is different from the brightness of the region to be detected. That is, when all the brightnesses of the cross-direction tracking positions are "0 ", the maximum distance calculating unit 236 calculates the maximum distance between the candidate point and the distance corresponding to the boundary point of the area to be detected have.

Since the tracking unit 230 does not affect the determination of whether or not the center point of the candidate point is currently being tracked, it is possible to perform parallel processing on each candidate point using the GPU.

The center point calculating unit 240 can calculate the candidate point having the maximum distance from the candidate points to the boundary point as a center point. That is, the center-point calculator 240 determines whether the distance to the boundary point of the candidate point is larger than the distance to the boundary point of the previously registered center point, and the distance to the boundary point of the corresponding candidate point is larger than the distance If the candidate point is registered as a new center point and the distance to the boundary point of the candidate point is smaller than the distance to the boundary point of the previously registered center point, have. Accordingly, the center-point calculator 240 can finally determine the center-point by performing the above-described operation on all the candidate points.

The area calculating unit 250 may calculate the size of the area based on the center point of the area to be detected. For example, the number of pixels included in the corresponding area can be calculated using the distance to the center point and the boundary point, and the size corresponding to the corresponding area can be calculated.

With this configuration, the apparatus for detecting a center point of an area in an OCT image according to an exemplary embodiment of the present invention can be independently performed without influence between candidate points in determining a center point for a candidate point, Speed operation can be performed using the GPU, and it is possible to determine whether or not foreign matter is detected at a specific position. Therefore, the application field can be extended to defect inspection of the product, and the product combination inspection can be performed at a high speed, The production yield of the product can be improved by shortening the inspection time.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

10: Optical coherence tomography apparatus
110: Light source 120: Optocoupler
130: Reference part 132: Collimator
134: focusing lens 136: reference mirror
140: scanning probe 142: collimator
144: scanning mirror 146: scan lens
150: optical tomographic part 152: collimator
154: diffraction grating 156: focusing lens
158: Line scan camera 20: Center point detection device
210: Image storage unit 220: Binarization image calculation unit
230: tracking unit 232: tracking range adjustment unit
234: discrimination unit 236: maximum distance calculation unit
240: center-point calculating unit 250: area calculating unit
30: subject to inspection

Claims (10)

Obtaining an OCT image;
Binarizing the acquired image by a predetermined threshold value;
Selecting an area to be detected from the binarized image as a candidate point;
Tracking each border point of the region to be detected while expanding in the cross direction with respect to each candidate point; And
Calculating a candidate point having a maximum distance from each of the candidate points to the boundary point as a center point,
Wherein the tracking comprises:
Determining whether a position expanded by one pixel in a vertical or horizontal direction based on an arbitrary candidate point has the same brightness as the area to be detected;
Calculating a distance to the boundary point with respect to the corresponding candidate point when each of the expanded positions is different in brightness from the area to be detected; And
Expanding the tracking range in the direction of the same brightness when the brightness of each of the extended positions with respect to the corresponding candidate point is the same brightness for at least one direction as the brightness of the area to be detected, A method of detecting a center point of an area in an image. The method according to claim 1,
Wherein the region to be detected has a brightness of "1 ", and is a region corresponding to a foreign substance. delete The method according to claim 1,
The step of calculating the center-
Determining whether a distance to the boundary point of the corresponding candidate point is greater than a distance to a boundary point of the previously registered center point;
Registering the corresponding candidate point as a new center point when the distance to the boundary point of the corresponding candidate point is larger than the distance to the boundary point of the previously registered center point; And
And removing the corresponding candidate point when the distance to the boundary point of the corresponding candidate point is smaller than the distance to the boundary point of the previously registered center point. The method according to claim 1,
Wherein the tracking is performed in parallel with respect to each of the candidate points. An image storage unit for storing the obtained OCT image;
A binarization image calculator for binarizing the stored image by a predetermined threshold value to select an area to be detected as a candidate point;
A tracking unit extending in the cross direction with respect to each candidate point and tracking the boundary point of the region to be detected; And
And a center point calculation unit for calculating a candidate point having a maximum distance from the candidate points to the boundary point as a center point,
The tracking unit includes:
A discrimination unit for discriminating whether a position expanded by one pixel in the vertical or horizontal direction based on an arbitrary candidate point has the same brightness as the area to be detected;
A maximum distance calculating unit for calculating a distance to the boundary point with respect to the corresponding candidate point when each of the expanded positions of the corresponding candidate point is different from all of the areas to be detected; And
And a tracking range adjuster for expanding the tracking range in the same brightness direction when the brightness of each of the extended positions with respect to the corresponding candidate point is the same brightness for at least one direction as the brightness of the area to be detected , An apparatus for detecting a center point of an area in an OCT image. The method according to claim 6,
Wherein the region to be detected has a brightness of "1 " and corresponds to a foreign object. delete The method according to claim 6,
The center point calculation unit may determine whether the distance to the boundary point of the corresponding candidate point is greater than the distance to the boundary point of the previously registered center point so that the distance to the boundary point of the corresponding candidate point is larger than the boundary point The candidate point is registered as a new center point and if the distance to the boundary point of the corresponding candidate point is smaller than the distance to the boundary point of the previously registered center point, The center point of the region in the OCT image. The method according to claim 6,
Wherein the tracking unit performs parallel processing on each of the candidate points.

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