JP2004013725A - Method and program for position detection image processing, and computer readable recording medium recording program for position detection image processing - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a position detection image processing method for improving accuracy of position detection of a measuring object without increasing pixel resolution. <P>SOLUTION: The measuring object is photographed to acquire an image. Luminance values of pixels of the image is converted into contiguous information by the interpolating calculation for horizontally adjacent pixels in the shape of a reed screen. The center of gravity of the measuring object is obtained by the calculation from the contiguous information. If noise is mixed into the image, the influence to the luminance values due to the noise can be reduced. The accuracy of the position detection of the measuring object is improved without increasing pixel resolution. <P>COPYRIGHT: (C)2004,JPO

Description

にて連続輝度値ｆ（ｘ）の式を算出する。
【００１１】
そして、ステップ３にて求めた連続輝度値ｆ（ｘ）における、予め設定した下限閾値よりも連続輝度値ｆ（ｘ）が大きい座標領域で、画像Ｇにおける被測定物の重心を求める（ステップ４）。このとき、重心位置のｘ座標ｘをＸｇとし、連続輝度値ｆ（ｘ）と下限閾値との交点をたとえばｘ_２、ｘ_３とすると、
【数２】

にて重心位置の座標Ｘｇを計算する。ここで、この数２の式の分母および分子は、連続輝度値ｆ（ｘ）は直線補間計算で求めたので、数２の式の分母および分子を計算する際、ｘ_０≦ｘ≦ｘ_０＋１の範囲の積分値は、ｆ（ｘ_０）＝Ｂ０、ｆ（ｘ_０＋１）＝Ｂ１とすると、それぞれ
【数３】

【数４】

となり、隣り合う画素間の積分値は容易に計算できる。
【００１２】
さらに、この重心位置の座標Ｘｇを、画像Ｇにおける赤（Ｒ）、緑（Ｇ）、および青（Ｂ）の各色光成分について計算することにより、これら赤（Ｒ）、緑（Ｇ）、および青（Ｂ）の各色光成分の重心を求めて色ずれを測定する。
【００１３】
上述したように、上記一実施の形態によれば、被測定物を撮像した画像Ｇの輝度値Ｂを、互いに隣接する画素Ｐの間で水平方向にすだれ状に補間計算して連続輝度値ｆ（ｘ）に変換し、この連続輝度値ｆ（ｘ）にて被測定物の重心位置の座標Ｘｇを計算することにより、たとえば画像Ｇを撮像した際などにこの画像Ｇにノイズが混入し、被測定物の輪郭部分に近い画素Ｐの輝度値Ｂが変化した場合でも、連続輝度値ｆ（ｘ）がこのノイズにより受ける影響を低減でき、画素分解能を上げたり被測定物の面積を大きくしたりすることなく、画像Ｇにおける被測定物の位置検出の精度を向上できる。
【００１４】
また、画素Ｐ間の輝度値Ｂを直線補間計算することにより、数２の式における分母および分子を、それぞれ数３の式および数４の式にて容易に計算できるため、コンピュータなどの演算装置による演算時間を低減して高速化できる。
【００１５】
なお、上記一実施の形態において、図３に示すように、ステップ３において連続輝度値ｆ（ｘ）の式を求めた際に、この連続輝度値ｆ（ｘ）のグラフに示す輝度分布が均一でない場合には、下限閾値Ｔ１よりも大きい値である予め設定した上限閾値Ｔ２よりも大きい連続輝度値ｆ（ｘ）を、上限閾値Ｔ２に置換してもよい。この場合には、たとえば画像Ｇを撮像した際などにこの画像Ｇに混入した比較的大きいノイズにより連続輝度値ｆ（ｘ）が不均一になることによる被測定物の重心計算への影響をも低減でき、画素分解能を上げることなく画像Ｇにおける被測定物の位置検出の精度をより向上できる。
【００１６】
また、画素Ｐ間の輝度値Ｂの補間計算を直線補間として計算を容易にして高速化を図っているが、重心位置の座標Ｘｇの検出の精度をより向上させる場合には、曲線補間計算を用いてもよい。
【００１７】
さらに、画素Ｐ間の輝度値Ｂを補間計算する際には、各ｘ座標ｘについて画像Ｇの垂直方向、すなわちｙ座標ｙの方向に沿ってすだれ状に補間計算してもよい。あるいは、画素Ｐ間の輝度値Ｂを、画像Ｇの各水平方向および各垂直方向、すなわち水平垂直方向に格子状に補間計算して、これら水平方向および垂直方向の重心位置の座標Ｘｇを求めることにより、画像Ｇにおける被測定物の重心計算の精度をより向上させてもよい。
【００１８】
そして、赤（Ｒ）、緑（Ｇ）、および青（Ｂ）の色ずれの測定だけでなく、一般の被測定物の重心位置の検出にも用いることができる。
【００１９】
またさらに、上記一実施の形態の各ステップを位置検出画像処理プログラムとしてコンピュータに実行させることで、画素分可能を上げることなく精度を向上した被測定物の位置検出を自動的にできる。
【００２０】
さらに、この位置検出画像処理プログラムを光学ディスク、あるいは磁気ディスクなどの記録媒体にコンピュータ読み取り可能に記録させて用いることにより、他のコンピュータでもこのプログラムを実現でき、上記一実施の形態の各ステップと同様の作用効果を得ることができる。
【００２１】
【実施例】
以下、上記一実施の形態の位置検出画像処理方法による被測定物の重心計算の具体的な一実施例を図４ないし図７を参照して説明する。
【００２２】
まず、従来の位置検出画像処理方法にて図２に示す画像Ｇの重心位置の座標Ｘｇを計算する。下限閾値Ｔ１を１３とし、図６に示すように図２に示す画像Ｇの一部を離散グラフに変換して計算すると、重心位置の座標Ｘｇは、
【数５】

である。ここで、たとえば図７に示すように、ｘ座標ｘが１の画素Ｐの輝度値Ｂがノイズの影響により１４から１２に変動した場合に、重心位置の座標Ｘｇは、
【数６】

となり、重心位置の座標Ｘｇの変化量は０．４である。
【００２３】
一方、上述の手法の一実施の形態の位置検出画像処理方法にて重心計算する。
【００２４】
まず、図４に示すように図２に示す画像Ｇの一部を連続グラフに変換する。数１の式により、ｘ座標ｘが０〜１の領域で連続輝度値ｆ（ｘ）は、ｆ（ｘ）＝４ｘ＋１０となる。同様に計算して、ｘ座標ｘが１〜２の領域では、ｆ（ｘ）＝４ｘ＋１０、ｘ座標ｘが２〜３の領域では、ｆ（ｘ）＝２ｘ＋１４、ｘ座標ｘが３〜４の領域では、ｆ（ｘ）＝−２ｘ＋２６、ｘ座標ｘが４〜５の領域では、ｆ（ｘ）＝−４ｘ＋３４、ｘ座標ｘが５〜６の領域では、ｆ（ｘ）＝−４ｘ＋３４となる。
【００２５】
そして、各連続輝度値ｆ（ｘ）と下限閾値Ｔ１との交点のｘ座標ｘは、それぞれ０．７５および５．２５となるので、ｘ座標ｘが０．７５〜５．２５の領域で数２の式、数３の式、および数４の式にて重心位置の座標Ｘｇを計算すると、
【数７】

となる。ここで、たとえば図５に示すように、ｘ座標ｘが１の画素Ｐの輝度値Ｂがノイズの影響により１４から１２に変動した場合には、数１の式によりｘ座標ｘが１〜２の連続輝度値ｆ（ｘ）は、ｆ（ｘ）＝６ｘ＋６に変化するので、下限閾値Ｔ１が４の際には、連続輝度値ｆ（ｘ）とこの下限閾値Ｔ１との交点のｘ座標ｘが、それぞれ１．１６７および５．２５となる。
【００２６】
そして、ｘ座標ｘが１．１６７〜５．２５の領域で、数２の式、数３の式、および数４の式にて被測定物の重心位置の座標Ｘｇを計算すると、
【数８】

となり、重心位置の座標Ｘｇの変化量を０．１８２に抑制できる。
【００２７】
上記一実施例に示したように、上記一実施の形態の位置検出画像処理方法を用いることにより、従来の位置検出画像処理方法よりもノイズの影響を低減でき、被測定物の重心位置の座標Ｘｇの検出の精度を向上できることが分かる。
【００２８】
【発明の効果】
本発明によれば、被測定物を撮像した画像の輝度値を、互いに隣接する画素の間で水平垂直方向に格子状に補間計算するか、あるいは水平方向および垂直方向のいずれか一方にすだれ状に補間計算して連続情報に変換し、被測定物の重心を計算することにより、たとえば画像にノイズが混入した場合でも輝度値がこのノイズにより受ける影響を低減できるため、画素分解能を上げることなく被測定物の位置検出の精度を向上できる。
【図面の簡単な説明】
【図１】本発明の位置検出画像処理方法の一実施の形態を示すフローチャートである。
【図２】同上位置検出画像処理方法における画像を示す説明図である。
【図３】同上位置検出画像処理方法の他の例における画像の各画素間で補間計算された輝度値の例を示すグラフである。
【図４】同上位置検出画像処理方法における画像の各画素間で補間計算された輝度値の例を示すグラフである。
【図５】同上位置検出画像処理方法における画像の各画素間で補間計算された輝度値の他の例を示すグラフである。
【図６】従来例の位置検出画像処理方法における画像の各画素の輝度値の例を示すグラフである。
【図７】同上位置検出画像処理方法における画像の各画素の輝度値の他の例を示すグラフである。
【符号の説明】
Ｂ　　輝度値
Ｇ　　画像
Ｐ　　画素
Ｔ１　　下限閾値
Ｔ２　　上限閾値
ｘ　　座標値としてのｘ座標
ｙ　　座標値としてのｙ座標[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to a position detection image processing method for obtaining a center of gravity of an object to be measured, a position detection image processing program, and a computer-readable recording medium storing the position detection image processing program.
[0002]
[Prior art]
2. Description of the Related Art Conventionally, as a position detection image processing method used for measuring a color shift of red (R), green (G), and blue (B) of a cathode ray tube such as a CRT (Cathode Ray Tube) display, an object to be measured is used. The captured image is converted into digital information composed of pixels having horizontal and vertical coordinate values and multi-tone luminance values, and pixels having luminance values larger than a predetermined lower threshold are set. There is known a method of calculating a center of gravity in a horizontal direction and a vertical direction in a coordinate area to obtain a center of gravity of an object to be measured.
[0003]
In calculating the center of gravity, the total value of the product of the luminance value and the coordinate value of each pixel for all pixels is obtained by dividing the total value of the luminance values of all pixels.
[0004]
[Problems to be solved by the invention]
However, in the above-described position detection image processing method, since the luminance value is discrete information given to each pixel, the luminance value is compared with the lower threshold value due to noise mixed in the image when, for example, capturing an image. For example, when the luminance value of a pixel in the contour portion of the DUT that is close to the target becomes smaller than the lower threshold value, the center of gravity position of the DUT calculated based on the luminance value of each pixel fluctuates relatively largely, so that the DUT There is a problem that the pixel resolution must be increased in order to improve the accuracy of detecting the position of the center of gravity.
[0005]
The present invention has been made in view of such a point, and a position detection image processing method, a position detection image processing program, and a position detection image processing program capable of improving the accuracy of position detection of a device under test without increasing pixel resolution. It is an object of the present invention to provide a recorded computer-readable recording medium.
[0006]
[Means for Solving the Problems]
The present invention converts an image obtained by capturing an image of an object to be measured into digital information composed of pixels having horizontal and vertical coordinate values and multi-tone luminance values, and adjacent to each other. The luminance value between pixels to be calculated is interpolated in a grid pattern in the horizontal and vertical directions, or interpolated in either the horizontal direction or the vertical direction, and converted into continuous information. This is to calculate the center of gravity of the measured object in the image. Then, the brightness value of the image obtained by capturing the device under test is interpolated and calculated in a grid pattern in the horizontal and vertical directions between adjacent pixels, or in an interdigitated manner in one of the horizontal and vertical directions. By converting to the continuous information and calculating the center of gravity of the DUT using the continuous information, for example, when noise is mixed in the image, the influence of the noise on the luminance value is reduced, and the accuracy of position detection is improved. it can.
[0007]
BEST MODE FOR CARRYING OUT THE INVENTION
An embodiment of the position detection image processing method according to the present invention will be described below with reference to FIGS.
[0008]
First, as shown in FIG. 1, an object to be measured is imaged by, for example, a CCD camera or a digital camera, and an image G of the object to be measured is obtained (step 1).
[0009]
Next, as shown in FIG. 2, the acquired image G has horizontal and vertical coordinate values, that is, x coordinate x and y coordinate y, and 0, such as an integer 256 steps including 0, for example. It is converted into digital information composed of pixels P having two or more multi-tone luminance values B (step 2). This image G is composed of a total of 49 substantially rectangular pixels P, for example, seven in the horizontal direction x0 to x6 and seven in the vertical direction y0 to y6. The luminance value B is converted for each color light component of red (R), green (G), and blue (B) in the image B.
[0010]
After that, the luminance value B between the pixels P adjacent to each other is linearly interpolated along the horizontal direction for each y coordinate y, that is, linearly interpolated in the horizontal direction, and the luminance value B is continuously calculated as continuous information. It is converted to a luminance value f (x) (step 3). At this time, if the x coordinate x and the luminance value B of an arbitrary pixel P are x1 and B1, respectively, and the pixel P and the y coordinate y are equal, and the luminance value B of the pixel P whose x coordinate x is (x1 + 1) is B2. ,
(Equation 1)

Is used to calculate the expression of the continuous luminance value f (x).
[0011]
Then, in the coordinate area where the continuous luminance value f (x) is larger than the preset lower threshold value in the continuous luminance value f (x) obtained in Step 3, the center of gravity of the measured object in the image G is obtained (Step 4). ). At this time, the x coordinate x of the position of the center of gravity and Xg, continuous luminance value f (x) and when, for example, x _2, x ₃ to the intersection of the lower threshold,
(Equation 2)

Is used to calculate the coordinates Xg of the position of the center of gravity. Here, as for the denominator and the numerator of the equation (2), since the continuous luminance value f (x) was obtained by the linear interpolation calculation, when calculating the denominator and the numerator of the equation (2), x ₀ ≦ x ≦ x ₀ Assuming that f (x ₀ ) = B0 and f (x ₀ +1) = B1, the integral values in the range of +1 are given by

(Equation 4)

And the integral value between adjacent pixels can be easily calculated.
[0012]
Further, by calculating the coordinates Xg of the position of the center of gravity for each of the red (R), green (G), and blue (B) color light components in the image G, these red (R), green (G), and The color shift is measured by finding the center of gravity of each color light component of blue (B).
[0013]
As described above, according to the embodiment, the luminance value B of the image G obtained by capturing the object to be measured is interpolated in the horizontal direction between pixels P adjacent to each other, and the continuous luminance value f is calculated. (X), and calculating the coordinates Xg of the center of gravity of the measured object with the continuous luminance value f (x), for example, when the image G is picked up, noise is mixed into the image G, Even when the luminance value B of the pixel P close to the contour of the object changes, the influence of the noise on the continuous luminance value f (x) can be reduced, and the pixel resolution can be increased or the area of the object can be increased. The accuracy of the position detection of the object to be measured in the image G can be improved without any trouble.
[0014]
Further, by calculating the luminance value B between the pixels P by linear interpolation, the denominator and the numerator in the equation (2) can be easily calculated by the equations (3) and (4). Can reduce the calculation time and increase the speed.
[0015]
In the embodiment, as shown in FIG. 3, when the expression of the continuous luminance value f (x) is obtained in step 3, the luminance distribution shown in the graph of the continuous luminance value f (x) is uniform. If not, a continuous luminance value f (x) larger than a preset upper threshold T2 which is larger than the lower threshold T1 may be replaced with the upper threshold T2. In this case, for example, when the image G is captured, the continuous luminance value f (x) becomes non-uniform due to relatively large noise mixed into the image G, which may affect the calculation of the center of gravity of the DUT. The accuracy of the position detection of the measured object in the image G can be further improved without increasing the pixel resolution.
[0016]
In addition, although the interpolation calculation of the luminance value B between the pixels P is linear interpolation, the calculation is facilitated to speed up the calculation. However, when the accuracy of detecting the coordinates Xg of the center of gravity is further improved, the curve interpolation calculation is performed. May be used.
[0017]
Further, when performing the interpolation calculation of the luminance value B between the pixels P, the interpolation calculation may be performed for each x-coordinate x in a vertical direction of the image G, that is, along the y-coordinate y. Alternatively, the luminance value B between the pixels P is interpolated and calculated in a grid shape in each horizontal direction and each vertical direction of the image G, that is, in the horizontal and vertical directions, and the coordinates Xg of the barycentric positions in these horizontal and vertical directions are obtained. Thereby, the accuracy of calculating the center of gravity of the measured object in the image G may be further improved.
[0018]
The present invention can be used not only for measuring the color misregistration of red (R), green (G), and blue (B) but also for detecting the position of the center of gravity of a general object to be measured.
[0019]
Further, by causing the computer to execute each step of the above-described embodiment as a position detection image processing program, it is possible to automatically detect a position of an object to be measured with improved accuracy without increasing the number of pixels.
[0020]
Further, by using the position detection image processing program in a computer-readable manner on a recording medium such as an optical disk or a magnetic disk, the program can be realized on another computer. Similar functions and effects can be obtained.
[0021]
【Example】
Hereinafter, a specific example of calculating the center of gravity of the device under test by the position detection image processing method according to the embodiment will be described with reference to FIGS.
[0022]
First, the coordinates Xg of the position of the center of gravity of the image G shown in FIG. 2 are calculated by a conventional position detection image processing method. When the lower limit threshold T1 is set to 13 and a part of the image G shown in FIG. 2 is converted into a discrete graph and calculated as shown in FIG. 6, the coordinates Xg of the position of the center of gravity are
(Equation 5)

It is. Here, as shown in FIG. 7, for example, when the luminance value B of the pixel P having the x coordinate x of 1 changes from 14 to 12 due to the influence of noise, the coordinate Xg of the center of gravity becomes
(Equation 6)

And the amount of change in the coordinate Xg of the center of gravity is 0.4.
[0023]
On the other hand, the center of gravity is calculated by the position detection image processing method according to one embodiment of the above method.
[0024]
First, as shown in FIG. 4, a part of the image G shown in FIG. 2 is converted into a continuous graph. According to the equation (1), the continuous luminance value f (x) is f (x) = 4x + 10 in a region where the x coordinate x is 0 to 1. Similarly, in the region where the x coordinate x is 1 to 2, f (x) = 4x + 10, and in the region where the x coordinate x is 2 to 3, f (x) = 2x + 14 and the x coordinate x is 3 to 4. In the area, f (x) = − 2x + 26, in the area where the x coordinate x is 4 to 5, f (x) = − 4x + 34, and in the area where the x coordinate x is 5 to 6, f (x) = − 4x + 34. .
[0025]
The x coordinate x at the intersection of each continuous luminance value f (x) and the lower threshold T1 is 0.75 and 5.25, respectively. When the coordinates Xg of the position of the center of gravity is calculated by the equation 2, the equation 3 and the equation 4,
(Equation 7)

It becomes. Here, for example, as shown in FIG. 5, when the luminance value B of the pixel P having the x coordinate x of 1 changes from 14 to 12 due to the influence of noise, the x coordinate x becomes 1 to 2 according to the equation (1). Of the continuous luminance value f (x) changes to f (x) = 6x + 6, so when the lower threshold value T1 is 4, the x coordinate x of the intersection of the continuous luminance value f (x) and the lower threshold value T1 Are 1.167 and 5.25, respectively.
[0026]
Then, in the region where the x coordinate x is 1.167 to 5.25, when the coordinates Xg of the center of gravity of the measured object are calculated by the equations of Equation 2, Equation 3, and Equation 4,
(Equation 8)

And the amount of change in the coordinate Xg of the position of the center of gravity can be suppressed to 0.182.
[0027]
As shown in the above-described one example, by using the position detection image processing method of the one embodiment, the influence of noise can be reduced as compared with the conventional position detection image processing method, and the coordinates of the center of gravity of the measured object can be obtained. It can be seen that the accuracy of Xg detection can be improved.
[0028]
【The invention's effect】
According to the present invention, the brightness value of an image obtained by capturing an object to be measured is calculated by interpolation in a grid pattern in the horizontal and vertical directions between pixels adjacent to each other, or in an interdigitated manner in one of the horizontal direction and the vertical direction. By converting to continuous information by interpolation calculation and calculating the center of gravity of the device under test, for example, even if noise is mixed in the image, the influence of the brightness value on the noise can be reduced, so that the pixel resolution is not increased. The accuracy of position detection of the device under test can be improved.
[Brief description of the drawings]
FIG. 1 is a flowchart illustrating an embodiment of a position detection image processing method according to the present invention.
FIG. 2 is an explanatory diagram showing an image in the position detection image processing method according to the first embodiment.
FIG. 3 is a graph showing an example of a luminance value interpolated between pixels of an image in another example of the above-described position detection image processing method.
FIG. 4 is a graph showing an example of a luminance value interpolated between pixels of an image in the position detection image processing method.
FIG. 5 is a graph showing another example of a luminance value interpolated between pixels of an image in the position detection image processing method according to the first embodiment.
FIG. 6 is a graph showing an example of a luminance value of each pixel of an image in a conventional position detection image processing method.
FIG. 7 is a graph showing another example of the luminance value of each pixel of the image in the position detection image processing method.
[Explanation of symbols]
B Luminance value G Image P Pixel T1 Lower threshold T2 Upper threshold x x coordinate as y coordinate y coordinate as y coordinate

Claims (11)

Image the object to be measured to obtain an image,
The image obtained by capturing the object to be measured is converted into digital information composed of pixels having horizontal and vertical coordinate values and multi-tone luminance values,
The luminance value between the pixels adjacent to each other is calculated by interpolation in a grid in the horizontal and vertical directions, or is converted into continuous information by interpolating and calculating in an interdigitated manner in one of the horizontal and vertical directions,
A position detection image processing method characterized by calculating a center of gravity of the continuous information to obtain a center of gravity of the measured object in the image. 2. The position detection image processing method according to claim 1, wherein when calculating the center of gravity of the measured object in the image, the center of gravity is calculated in a coordinate area of continuous information whose luminance value is larger than a predetermined lower threshold. When the luminance value between adjacent pixels is calculated by interpolation in a grid pattern in the horizontal and vertical directions, or in the case of interpolating and calculating in an interdigitated manner in either the horizontal direction or the vertical direction, the luminance is converted to continuous information. 3. The position detection image processing method according to claim 2, wherein the continuous information whose value is larger than an upper limit threshold larger than a preset lower limit threshold is replaced with the upper limit threshold. When obtaining the center of gravity of the device under test in the image, the integral value of the product of the luminance value of each point and the coordinate value of each point in the coordinate area of the continuous information whose luminance value is greater than a preset lower threshold value is calculated as the continuous value. 4. The position detection image processing method according to claim 1, wherein the position detection image is obtained by dividing by an integral value of a luminance value of each point in the information area. When calculating the luminance value between pixels adjacent to each other in a grid pattern in the horizontal and vertical directions, or when interpolating and calculating in an interdigitated manner in one of the horizontal direction and the vertical direction to convert to continuous information, the pixel 5. The position detection image processing method according to claim 1, wherein a luminance value between the two is calculated by linear interpolation. A step of capturing an image of the device under test to obtain an image,
Converting an image obtained by imaging the object to be measured into digital information composed of pixels having horizontal and vertical coordinate values and multi-tone luminance values,
Converting the luminance value between the pixels adjacent to each other into continuous information by interpolation calculation in a grid pattern in the horizontal and vertical directions, or by interpolating calculation in an interdigitated manner in one of the horizontal direction and the vertical direction;
Calculating the center of gravity of the continuous information to obtain the center of gravity of the measured object in the image. 7. The computer program according to claim 6, wherein, in the step of obtaining the center of gravity of the object to be measured in the image, the center of gravity is calculated in a coordinate area of continuous information whose luminance value is larger than a preset lower limit threshold. In the step of calculating the luminance value between adjacent pixels in a grid-like manner in the horizontal and vertical directions, or interpolating and calculating in an interdigitated manner in one of the horizontal direction and the vertical direction, and converting it into continuous information, 8. The position detection image processing program according to claim 7, wherein said continuous information having a value larger than a preset lower limit threshold and larger than an upper limit threshold is replaced with said upper limit threshold. In the step of obtaining the center of gravity of the device under test in the image, the integrated value of the product of the luminance value of each point and the coordinate value of each point in the coordinate area of the continuous information whose luminance value is larger than a preset lower threshold value is calculated as the continuous value. 9. The position detection image processing program according to claim 6, wherein the information is obtained by dividing by an integral value of a luminance value of each point in the information area. In the step of calculating the luminance value between adjacent pixels in a grid-like manner in the horizontal and vertical directions, or interpolating and calculating in an interdigitated manner in one of the horizontal direction and the vertical direction to convert the pixel into continuous information, 10. The position detection image processing method according to claim 6, wherein a luminance value between the two is calculated by linear interpolation. A computer-readable recording medium storing a position detection image processing program, wherein the position detection image processing program according to any one of claims 6 to 10 is recorded in a computer-readable manner.

Images