JP6061133B2 - Test chart and its usage - Google Patents

Description

  The present invention relates to a test chart for an imaging apparatus such as a camera, and a method of using the test chart.

  Conventionally, it is known to use a circular zone plate (CZP) to evaluate the spatial frequency of a camera. When this known CZP chart is taken with a video camera, for example, and the video signal of the video camera is evaluated with a measuring instrument such as a waveform monitor, whether the change in the observed waveform of the measuring instrument is due to the characteristics of the lens of the video camera Or there is a problem that it cannot be distinguished whether it is due to the characteristics of the video camera body. In order to deal with this problem, Japanese Patent Application Laid-Open No. 2011-101100 discloses a test chart created using this known CZP chart. As the disclosed test charts, there are two charts for evaluating the horizontal resolution of a camera and the like and for evaluating the vertical resolution. The test chart for horizontal resolution evaluation (see FIG. 2 of the above publication) is cut along a vertical line that bisects a known CZP chart from the center to the left and right and joins the cut left side to the other right side. Thus, the spatial frequency characteristic is highest in the central portion, and becomes lower toward the peripheral portion in the horizontal direction. On the other hand, the test chart for vertical resolution evaluation (see FIG. 3 of the above publication) uses a well-known CZP chart, which is cut by a horizontal line that bisects the CZP chart vertically from the center, and the upper side of the cut upper side. And the other lower side are joined to each other, so that the spatial frequency characteristic is highest in the central portion and becomes lower toward the peripheral portion in the vertical direction. These test charts for horizontal resolution evaluation and vertical resolution evaluation allow the spatial frequency to be highest in the center, and lower toward the horizontal periphery or the vertical periphery. This makes it easy to determine whether the change is due to the lens of the video camera or the main body.

  However, in the test chart disclosed in Japanese Patent Application Laid-Open No. 2011-101100, the spatial resolution is evaluated only in two lines, a line extending in the horizontal direction from the center of the test chart and a line extending in the vertical direction from the center. I can't.

Accordingly, it is an object of the present invention to provide a test chart that can determine the spatial resolution of an imaging device in more parts within the field of view of the imaging device.
Moreover, the objective of this invention is providing the measuring method which measures the spatial resolution of an imaging device using the said test chart.

  Still another object of the present invention is to provide a computer-readable storage medium and a computer program for carrying out the above measurement method.

  A test chart provided according to an embodiment of the present invention is a test chart including at least one chart, wherein the chart is a plurality of rings arranged concentrically, and the plurality of rings are peripheral. A plurality of rings having a spatial frequency increasing in a direction from the center to the center, and at least one pair of marks arranged outside the plurality of rings, wherein the pair of marks is the plurality of rings At least one pair of marks arranged in a horizontal direction or a vertical direction passing through the center of the.

  A measurement method provided according to another embodiment of the present invention includes: a) receiving a digital imaging signal of the test chart according to any one of claims 1 to 5 from an imaging device to be measured; B) determining a measurement area at an angle of the one chart by detecting the pair of marks of one chart of the at least one chart of the test chart from the digital imaging signal; C) defining a plurality of measurement lines in the measurement area from a lower spatial frequency to a higher spatial frequency; and d) a sequence along the measurement line from the digital imaging signal in each of the measurement lines. At least of the period and amplitude of the waveform defined by the series of digital data. A step of obtaining a spatial resolution in each measurement line based on one, and e) a space in the measurement area of the imaging device to be measured using a plurality of spatial resolutions obtained respectively in the plurality of measurement lines. Determining resolution.

  In addition, according to still another embodiment of the present invention, various more specific features are provided regarding the above test chart and measurement method.

FIG. 1 is a plan view showing an entire test chart 100 according to an embodiment of the present invention. 2A is an enlarged view of the upper half of the central chart in the test chart of FIG. 1, and FIG. 2B is an enlarged view of a part of the central chart. FIG. 2C is a diagram showing a luminance waveform defined by the enlarged portion of FIG. FIG. 3 is a diagram illustrating a measurement system that evaluates the spatial resolution of an imaging apparatus using a test chart according to an embodiment of the present invention. FIG. 4 is a flowchart illustrating a measurement flow for evaluating the spatial resolution of the imaging apparatus, which is executed by the measurement apparatus of FIG. 3. FIG. 5 is a flowchart showing a measurement process of an embodiment showing in detail a spatial resolution measurement step in the measurement flow of FIG. 4. FIG. 6A shows an image of a plurality of measurement lines in the still image, and FIG. 6B shows a luminance waveform defined by images of two different measurement lines of the plurality of measurement lines. FIG. FIG. 7 is a diagram showing the waveform diagram of FIG. 6 in more detail. FIG. 8A shows the digital data values in a certain measurement line obtained in the measurement process of FIG. 5, and FIG. 8B shows the values of some digital data in this measurement line. The figure shown in detail. 9A and 9B are diagrams showing display examples of measurement results when the designated angle interval is 5 degrees, which is displayed by the result display step of the measurement flow of FIG. FIGS. 10A and 10B are diagrams showing still other measurement result display examples when the specified angle interval is 5 degrees. FIGS. 11A and 11B are diagrams showing measurement result display examples similar to those in FIGS. 9A and 9B when the designated angle interval is 1 degree. FIGS. 12A and 12B are diagrams showing measurement result display examples similar to those in FIGS. 10A and 10B when the designated angle interval is 1 degree. FIG. 13 is a flowchart showing a measurement process of another embodiment of the resolution measurement step of FIG. FIG. 14 is a waveform diagram for explaining a cycle used in the measurement process of FIG. FIG. 15 is a flowchart showing measurement processing of still another embodiment of the resolution measurement step of FIG.

Hereinafter, various embodiments of the present invention will be described in detail with reference to the drawings.
FIG. 1 is a plan view showing an entire test chart 100 according to an embodiment of the present invention. As illustrated, the test chart 100 has a rectangular shape and a 16: 9 aspect ratio (for HDTV). It should be noted that other aspect ratios can be used in accordance with the aspect ratio of the imaging device to be measured. As shown in the figure, the test chart 100 includes a central chart 110 disposed at the center of the rectangular frame 102 and four peripheral charts 120 to 180 disposed at four corners of the rectangular frame 102, respectively. Compared to the vertical size of the rectangular frame 2, the central chart 110 is about 1/3 in size, and each of the peripheral charts 120 to 180 is about 1/5 in size.

Referring to FIG. 2 in which the upper half of the central chart 110 is enlarged, as shown in FIG. 2 (A), the central chart 110 includes a plurality of concentric rings 111 arranged in the center, and the periphery of this ring. Four position detection marks 112, 113, 114, and 115, and a central circular region 116 at the center of the ring 111. The plurality of concentric rings 111 define a concentric pattern in which the spatial frequency increases from the periphery toward the center by continuously changing the luminance between black and white. The spatial frequency changes from 350 TV lines (outside) to 1150 TV lines (center side), and the rate of change is 10 TV lines / cycle. The TV book is a unit that represents how many black and white vertical lines can be separated and distinguished in a horizontal width equal to the vertical height of the screen. At this time, each white and black vertical line is counted as one. In one scanning line, a black and white vertical line corresponds to one cycle of a luminance signal having a rectangular wave (or sine wave). Since the peak of the luminance signal is displayed as white and the valley is displayed as black, one cycle corresponds to two TV periods. FIG. 2B shows the ring for two cycles in more detail. In FIG. 2B, the gray scale is illustrated so as to change step by step, but actually, a gray scale that changes continuously is used. FIG. 2C shows the luminance generated by the ring for two cycles normalized to a value of 0 to 1, and the luminance continuously changes with the function sin ² x.

  Position detection marks 112, 113, 114, and 115 included in the central chart 110 are marks used for automatically determining the position and orientation of the chart. Marks 112 and 114 indicate a horizontal direction (indicating angles of 0 and 180 degrees) passing through the center of the chart (indicating angles of 0 and 180 degrees), and marks 113 and 115 pass through the center of the chart. The vertical direction is shown (90 and 270 degrees are shown). Further, as shown in FIG. 2A, by including a black central circular region 116 in the central chart 110, a central strip portion 118 having a width of 2d is determined. By making the width of 2d smaller than the diameter of the circular region 116, the end on the center side can be made a line that is relatively close to a straight line, thereby avoiding the arrangement of the ring in the center and avoiding measurement errors. Try to reduce the occurrence. A plurality of lines to be used as measurement lines for measuring the spatial resolution are selected from the area of the band-shaped portion 118. The reason for using a plurality of lines as the measurement lines is to reduce the influence of variations in the spatial resolution measurement results for each line.

  The peripheral charts 120 to 180 have the same configuration as each other and have the same configuration as the central chart 110. Each peripheral chart is different from the central chart in that the entire size of the peripheral chart is small and a plurality of rings arranged in the center are small. A plurality of rings of each peripheral chart (for example, a plurality of rings 122 of the peripheral chart 120) have the same spatial frequency of 350 TV lines (outside) to 1150 TV lines (center side) as the central chart, but the rate of change is 50 TV lines / cycle. Thus, the rate of change per cycle is high compared to the central chart.

In the test chart 1 described above, the center is a black-and-white arrangement, but this arrangement can be reversed.
In the above, the test chart constitutes a black and white chart, that is, a pattern in which the gradation, that is, the gray scale, changes between the two colors of black as the first color and white as the second color. Explained as a thing. In black-and-white charts, the red (R), green (G), and blue (B) component values (also called “channels”) have the same value. What is necessary is just to use it as luminance data to determine. Also, colors other than black and white can be used for the test chart. For example, any two colors other than black and white can be used as the first and second colors. The table below shows the respective values (8-bit representation) of typical RGB channels of eight colors when expressing the respective colors.

Table 1 shows only the above eight representative colors, and other colors can be used as any two colors other than black and white.
When any two colors other than black and white are used, the color gradation is changed between the two colors between the positive and negative peaks. As a result, it is possible to analyze a change in resolution distribution due to color. Also, the gradation change can change the values of the three RGB channels simultaneously, change two of the three channels simultaneously, or change only one channel. . As a method of changing the gradation, for example, gradation is possible. Furthermore, not only the three RGB channels can be changed in phase, but also the phases (for example, 90 degrees) can be shifted from each other. By giving a phase difference to the change in gradation, the spatial resolution measurement accuracy can be increased.

  According to the test chart 100 described above, by arranging the plurality of charts 110 and 120 to 180 in the rectangular frame 2, the spatial resolutions of different regions in the field of view can be evaluated independently of each other. Further, since each chart includes concentric rings, the spatial resolution in a plurality of different directions can be evaluated in each of the regions. Thereby, the spatial resolution of an arbitrary number of desired regions in the field of view can be evaluated in all directions from 0 degrees to 360 degrees.

  Next, a measurement system 300 that evaluates the spatial resolution of the imaging apparatus using the test chart 1 will be described in detail with reference to FIG. As illustrated, the measurement system 300 includes an imaging device 310 to be measured that captures the test chart 100 illustrated in FIG. 1 and a measurement device 320 that receives an imaging output signal from the imaging device 310. Examples of the imaging device 310 to be measured include a digital camera, a video camera, and other devices having any camera mechanism such as a smartphone, a mobile phone, and a module of these camera mechanisms. The measuring device 320 can be configured with a device dedicated to measurement, or can be realized with a versatile device such as a computer. In the following description, an example in which the measurement apparatus is implemented by a personal computer PC will be described. This PC includes known elements such as a processor, an input device, a storage device storing a computer program, and an output device such as a display. Note that the computer program can also be stored in a computer-readable storage medium.

  With reference to FIG. 4, a measurement flow executed by a computer program executed by the measurement device 320 for evaluating the spatial resolution of the imaging device 310 will be described. First, in the first step 400, an output signal as a result of photographing the test chart 100 is received from the imaging device 310 and placed in a buffer in the PC. This output signal is, for example, a still image file of a camera video, and can be in any format such as JPEG, BITMAP, PNG, TIFF. As a method of receiving a still image file, in addition to receiving the image directly from the imaging device 310, the already acquired still image file can also be received from a storage medium such as a network (for example, Ethernet), a capture board, and a USB. . Next, in step 402, the measurement range of the spatial frequency in the received still image is determined. That is, for example, the central chart 110 among the five charts 110 and 120 to 180 is selected, and the direction in which the spatial resolution of the selected central chart 110 is measured is designated by an angle. For example, an angle of 0 degrees indicating the right horizontal direction from the center of the chart is specified as a measurement start angle, and an angle interval to be measured is specified within a range of 0.01 degrees to 90 degrees. In this embodiment, since measurement is performed simultaneously in four directions, when 0 degrees is designated as the measurement start angle, measurements at 90 degrees, 180 degrees, and 270 degrees are also designated.

  Next, in step 404, a spatial resolution measurement area is detected. Specifically, scanning is performed for each line from left to right in the quadrangle surrounding the four position detection marks 112 to 115 on the top, bottom, left, and right, and the coordinates of the marks 112 to 115 that are white quadrilaterals are determined. Next, a vertical measurement area is defined by the coordinates of the left and right corners above the mark 113 and the coordinates of the left and right corners below the mark 113. Similarly, the horizontal measurement area is defined by the coordinates of the upper and lower corners on the left side of the left white square, that is, the mark 114, and the coordinates of the upper and lower corners on the right side of the right square, that is, the mark 112. Next, the peak of the first ring is obtained. In order to measure the spatial resolution more accurately, the measurement area is determined to include a plurality of measurement lines. It also defines which measurement line in the measurement area is to be used.

  Next, in step 406, the spatial resolution is measured on the determined measurement line, and the measurement result is stored. Details of this measurement will be described later with reference to FIG. Next, in step 408, it is determined whether or not the measurement in the measurement area is completed. If the measurement is not completed, the next measurement area is selected in step 410. Details of the processing in step 410 will be described later. Next, the spatial resolution measurement in step 406 is resumed. If it is determined in step 408 that the measurement has been completed, the stored measurement result is displayed in step 412 and the flow ends.

  Next, the details of the measurement processing of one embodiment of the spatial resolution measurement step 406 will be described with reference to FIG. In the measurement process of FIG. 5, an abnormality in the occurrence of positive and negative peaks in the waveform is used. First, in step 500, the measurement buffer is initialized and measurement parameters (line counter, inspection data pointer, result recording buffer, etc.) are initialized. Next, in step 502, the measurement lines in each of the four measurement areas are selected. Measurement line selection in the measurement area is basically performed from left to right and from top to bottom, and recorded by a line counter. Within each measurement area, 40 lines are selected and the average value is taken as the measurement value. Next, in step 504, high-frequency noise in the data of the selected measurement line is removed using, for example, a Gaussian filter. Specifically, when the measurement image is HD (1920 × 1080), since one period of the highest resolution is 2 dots (its frequency is half of 74.25 MHz), frequency components of 1 period or less of 2 dots are regarded as noise and removed.

  FIG. 6 shows the image (FIG. 6A) obtained in this way and the waveform of the image data (FIG. 6B). In this figure, an image of a plurality of lines including the horizontal line 535 and the horizontal line 540 is shown. In the lower waveform diagram, the change in luminance of the horizontal line 535 and the horizontal line 540 is normalized to a range of 0 to 1. Is shown. FIG. 7 is an enlarged view of the waveform diagram of FIG. 6, and it can be seen that the sampling points are slightly shifted between the horizontal line 535 and the horizontal line 540. Therefore, as described above, in one embodiment of the present invention, the spatial resolution is measured by a plurality of measurement lines in each measurement area.

  Next, in step 506, the image data is preprocessed to obtain data having only peaks and valleys. Specifically, (1) peak and valley peaks are identified in all cycles of the waveform of image data, and (2) in each cycle, the rise between the peaks and valleys in each cycle. Data, ie, data between the peak of the valley at the start of the rise and the peak of the next peak are all converted to the data value of the peak of the valley at the start of the rise, and (3) Among the data between the two peaks of the valley, the data in the middle of the fall, that is, the data between the peak of the peak at the start of the fall and the peak of the next valley, all the data at the start of the fall Convert to mountain peak data value. Next, in step 508, an average value of the preprocessed data is obtained, this average value is set as a threshold value for determining peaks of peaks and valleys, and this threshold value is set to the value of the “slider”. And

  FIG. 8 shows data obtained by the processing of steps 506 and 508. Specifically, FIG. 8A shows digital values of luminance data 1 to 560 in one line including two measurement lines of 0 degrees and 180 degrees as an example, and FIG. In FIG. 8A, the luminance data 157 to 177 surrounded by a square is shown in an enlarged manner. In the figure, a slider having the value obtained above is shown for understanding the present invention. As can be seen from the figure, data other than the peaks and valleys are not included.

  Next, in step 510, an inspection data pointer that points to the data to be inspected in the measurement line is initialized to point to the first data to be inspected. Specifically, when the angle of the measurement line is 0 degree, it indicates the right end, when it is 90 degrees, it indicates the upper end, when it is 180 degrees, it indicates the left end, and when it is 270 degrees, it indicates the lower end data. For example, in the example of FIG. 8A, the inspection data pointer points to the digital data 560 when the 0 degree measurement line is selected, and the digital data 1 when the 180 degree measurement line is selected. To point.

  Next, in step 512, it is determined whether the inspection data pointer has reached the center of the chart, that is, the side opposite to the inspection start position of the selected measurement line. This determination is performed by detecting whether black data continues for a certain number or more. When it is determined that the inspection has been reached, it is determined that the inspection on the selected measurement line is completed, and the process proceeds to Step 520. If it is determined that it has not reached, the process proceeds to step 514.

  In step 514, it is determined whether the data pointed to by the pointer corresponds to the falling portion of the waveform. The falling portion is determined by determining whether it is smaller than the value of the data inspected immediately before. When it is determined that it is not the falling portion, that is, the value is the same or larger than the data inspected immediately before (data 800 or 801 in the example of FIG. 8B), the process proceeds to step 516 and the inspection data pointer is centered. Shift one direction and return to step 512. On the other hand, when it is determined in step 514 that it is a falling portion (data 802 and 804 in the example of FIG. 8B), in the next step 517, the value of the data being inspected is set to the slider (threshold value). Determine if it is above. When it is determined that it is above the slider (data 804 in the example of FIG. 8B), it is determined that the upper limit of the spatial resolution has been exceeded since the valley exceeding the slider does not appear (black and white is crushed and cannot be determined). The spatial resolution corresponding to the position of the inspected data (data 801 in the example of FIG. 8B) is determined as the upper limit value, and the pointer value of the immediately preceding inspection data is recorded.

  In the case of Yes in step 517, the determined spatial resolution is determined as the measurement result on the measurement line being inspected. Specifically, the pointer value is converted into a position on the chart, and the number of TV lines corresponding to the converted position on the chart is calculated. This calculated TV book represents the spatial resolution. Next, in step 522, the measurement result is stored in a designated buffer.

  In this embodiment, the combination of the fall detection at step 514 and the determination of whether or not the slider is above the slider at step 517 is used, but other methods are also possible. For example, the rising edge can be detected in step 514, and it can be determined in step 517 whether or not it is below the slider.

  Next, in step 524, it is determined whether measurement has been completed for all measurement lines in four directions (0 degrees, 90 degrees, 180 degrees, and 270 degrees). If not, the next measurement line is selected. The process proceeds to step 510, and then steps 512 to 522 are repeated. On the other hand, when the measurement has been completed for all the four measurement lines, it is determined in step 526 whether the measurement has been completed for all the measurement lines in each of the four measurement areas. Proceeding to 502, each next measurement line in the four measurement areas is selected. For example, when the measurement on the measurement line 535 in FIG. 6 is completed, but the measurement line 540 is not measured, the measurement line 540 is selected. Thereafter, the above steps 504 to 524 are repeated. When the measurement in all measurement lines in each measurement area is completed, in step 528, an average value of measurement results in a plurality of measurement areas in each measurement area is obtained, and this TV value which is the average value is obtained. The final spatial resolution in the corresponding measurement area is determined and stored in the result buffer. Thereby, the final spatial resolution in four directions is obtained.

  Thereafter, the process proceeds to step 408 in FIG. 4, and when the measurement in all the measurement areas is not completed, the next measurement area is selected in step 410. That is, for example, when the measurement in the measurement areas of 0 degrees, 90 degrees, 180 degrees, and 270 degrees is completed, the measurement areas are selected at the next four angles separated by the designated angle interval. For example, when the specified angular interval is 5 degrees, measurement areas of 5 degrees, 95 degrees, 185 degrees, and 275 degrees are selected. When the specified angle interval is 1 degree, measurement areas of 1 degree, 91 degrees, 181 degrees, and 271 degrees are selected. Here, when the next measurement area is selected, the coordinates that define the spatial area corresponding to the measurement area are spatially rotated by a specified angle interval around the center of the chart, and the resulting rotated result The coordinates of the spatial region are obtained as defining the next measurement area. The spatial rotation of the coordinates can be performed by a well-known method, but can be performed by using, for example, the following expression.

Here, F (x, y) is the original coordinate, F ′ (x ′, y ′) is the target coordinate, and σ is the rotation angle. Since the origins of F and F ′ overlap, F (0,0) = F ′ (0,0).
Next, in step 408, when the measurement is completed in all measurement areas, the process proceeds to step 412 to display the measurement results stored in the result buffer. An example of the measurement result (specified angle interval = 5 degrees) is shown in the following table (intermediate values are omitted).

The x coordinate is an x-axis (horizontal axis) coordinate representing a position on the chart indicating the upper limit position of the spatial resolution, and the y coordinate is a y-axis (vertical axis) coordinate of the position. The measurement results can be displayed in various different formats as described below, in addition to the method of displaying the results in the above table format.

  FIG. 9A is a diagram illustrating TV book values in which the horizontal axis represents the angle of the measurement area and the vertical axis represents the spatial resolution. In FIG. 9B, the horizontal axis is the x coordinate and the vertical axis is the y coordinate. Therefore, the result display in FIG. 9B spatially corresponds to the original chart.

  Next, FIG. 10A is a display in polar coordinate format, and the result display of FIG. 9B is displayed as a plot of “x” superimposed on the test chart, and the spatial resolution is displayed on the chart. Shows if it is in position. Accordingly, the spatial resolution over 360 degrees can be grasped in association with the chart. FIG. 10B is also a display in a polar coordinate format, and shows the value of a TV book at a certain angle by the distance from the pole at that angle. Therefore, the length of the line from the pole represents the size of the spatial resolution, the center is 0 TV lines, and the circumference (edge) of the white circle is 1150 TV lines. Even in this display format, it is necessary to grasp the distribution of spatial resolution over 360 degrees.

  11 (A), 11 (B), 12 (A), and 12 (B) are respectively the same as FIGS. 9 (A), 9 (B), 10 (A), and 10 (B). It is the same figure, Comprising: The result when the designated angle interval is made into 1 degree finer is shown.

  Next, with reference to FIG. 13, the measurement process which is another embodiment of the resolution measurement step 406 of FIG. 4 will be described. This embodiment uses the length of the period in the waveform to determine the spatial resolution. As shown, the measurement process of FIG. 13 is similar to the measurement process of FIG. 5 except that it includes a binarization step 1301, and instead of steps 506 and 512-520 of FIG. Step 1300 and steps 1302 to 1310 are included.

  Specifically, in step 1300, in addition to the pre-processing in step 506 of FIG. 5, “valley data” is used from the peak of the mountain to the next valley peak, and “ " Alternatively, the “peak data” may be used from the peak of the mountain to the peak of the next valley, and the “valley data” may be from the peak of the valley to the peak of the next peak. In any case, the waveform data is divided into peak data and valley data. Next, in step 1301, the preprocessed data is binarized by slicing with the slider value, thereby generating a binarized waveform as shown in FIG. The dotted line portion is one period portion of the waveform.

  After such processing, it is determined in step 1302 whether one cycle has been detected. As an example, when “valley data” is detected for the first time, since it is not one cycle, the process proceeds to step 1304, where the inspection data pointer is advanced by one to the center side and the process returns to step 1302. Here, it is determined whether one cycle is detected again. For example, when “mountain data” is detected this time, “valley data” is detected last time, so it is determined that one cycle has been detected. At this time, the process proceeds to step 1306, where it is determined whether or not the detection of one period is the first time, and at the first time, the period length of the one period is recorded in the buffer at step 1308, and then the process proceeds to step 1304. On the other hand, when it is determined in step 1306 that it is not the first time, it is determined in step 1310 whether or not it is longer than one cycle detected so far, that is, the cycle length stored in the buffer. If it is not long, that is, if it is short or the same length, the period length detected this time is recorded in the buffer and the period length is updated. Then, the process proceeds to step 1304, and the next inspection is started. On the other hand, when it is determined in step 1310 that the period is long, the period detected this time is determined to be black and white and cannot be distinguished, and from the previous inspection data pointer value, the coordinates on the chart and the TV book at the position of this coordinate are determined. Find the value of. Thereafter, the final measurement value can be generated by proceeding to the same steps as those after step 522 in FIG.

  Further, with reference to FIG. 15, a measurement process which is still another embodiment of the resolution measurement step 406 in FIG. 4 will be described. This embodiment uses the amplitude in the waveform to determine the spatial resolution. As shown in the figure, the measurement process of FIG. 15 is similar to the measurement process of FIG. 5 except that step 508 of FIG. 5 is not provided and step 506 and steps 512 to 520 of FIG. In addition, step 1500 and steps 1502 to 1506 are included.

  More specifically, in step 1500, in addition to the pre-processing in step 506 in FIG. 5, as in the processing in FIG. 13, from the peak of the mountain to the next valley peak is “valley data”, and from the peak of the valley to the next “Mountain data” is used until the peak of the mountain. Alternatively, the “peak data” may be used from the peak of the mountain to the peak of the next valley, and the “valley data” may be from the peak of the valley to the peak of the next peak. In any case, the waveform data is divided into peak data and valley data. After such processing, it is determined in step 1502 whether one cycle has been detected. As an example, when “valley data” is detected for the first time, since it is not one cycle, the process proceeds to step 1504, where the inspection data pointer is advanced by one to the center side and the process returns to step 1502. Here, it is determined whether one cycle is detected again. For example, when “mountain data” is detected this time, “valley data” is detected last time, so it is determined that one cycle has been detected. At this time, the process proceeds to step 1506, where it is determined whether the detected amplitude of one cycle is smaller than a predetermined threshold value. If it is not smaller than the threshold value, it is determined that black and white has been detected without being crushed, and the process proceeds to step 1504 to shift to the inspection for the next data. On the other hand, if it is smaller than the threshold value, it is determined that the black and white have been crushed, and the coordinates on the chart and the value of the TV book at the position of these coordinates are obtained from the value of the previous inspection data pointer. Thereafter, the final measurement value can be generated by proceeding to the same steps as those after step 522 in FIG.

  By using the test chart of the present invention described in detail above, it is possible to evaluate the spatial resolution in spatially different viewing areas in different directions within 360 degrees in each area. A more detailed evaluation can be made possible. Further, according to the measurement method of the present invention, the spatial resolution can be accurately evaluated using the test chart, and the evaluation result can be displayed in a format that is easy for the user to understand.

Claims (18)

A test chart comprising at least one chart,
The chart is
A plurality of rings arranged concentrically, the plurality of rings having a spatial frequency that increases in a direction from the periphery toward the center;
At least one pair of marks disposed outside the plurality of rings, wherein the pair of marks are disposed in a transverse or longitudinal direction through the centers of the plurality of rings. A pair of marks,
Only including,
Each pair of the at least one pair of marks defines a measurement area used for spatial resolution measurement, and the width of the measurement area is determined by the width of the corresponding pair of marks . The test chart according to claim 1 , wherein the chart includes the black circular region at the center of the plurality of rings,
The circular area has a diameter related to the width of the mark in the transverse direction or the longitudinal direction in which the mark is arranged,
Test chart.   2. The test chart according to claim 1, wherein each of the plurality of rings has a first color at one peak of the waveform defining the spatial frequency and a second color at the other peak, A test chart in which the color changes between the first color and the second color between peaks. The test chart according to claim 1,
The test chart has a rectangular shape and includes a plurality of the charts,
The plurality of the charts are:
A central chart arranged in the center of the rectangle of the test chart;
Four peripheral charts arranged at each of the four corners of the rectangle;
Including test chart. a step of receiving a) from an imaging device to be measured, a digital imaging signal of the test chart according to claim 1-4,
b) determining a measurement area at an angle of the one chart by detecting the pair of marks of one of the at least one chart of the test chart from the digital imaging signal;
c) defining a plurality of measurement lines from a low spatial frequency to a high spatial frequency in the measurement area;
d) In each of the measurement lines, a series of digital data along the measurement line is obtained from the digital imaging signal, and is based on at least one of a period and an amplitude of a waveform defined by the series of digital data. Obtaining a spatial resolution in each of the measurement lines;
e) obtaining a spatial resolution in the measurement area of the imaging device to be measured using a plurality of spatial resolutions obtained respectively in the plurality of measurement lines;
Including a measuring method. The measurement method according to claim 5 , wherein
The step of obtaining a spatial resolution in each measurement line includes:
Starting detection of the peak of the waveform from the low spatial frequency;
Of the detected peaks, detecting one polarity peak not exceeding the average value of the waveform;
Determining a spatial resolution in each measurement line based on the spatial frequency corresponding to a waveform position having a peak of one polarity exceeding the average value immediately before the peak of the one polarity not exceeding the average value; ,
Including a measuring method. The measurement method according to claim 6 ,
The measurement method, wherein the spatial resolution of the measurement area is determined by an average value of the plurality of spatial resolutions obtained in the plurality of measurement lines. The measurement method according to claim 5 , wherein
The step of obtaining a spatial resolution in each measurement line includes:
Starting detection of the period of the waveform from the low spatial frequency;
Determining whether the detected cycle is longer than the cycle detected immediately before;
Determining the spatial resolution in each measurement line based on the spatial frequency corresponding to the waveform position having the period detected immediately before, when the detected period is longer than the period detected immediately before;
Including a measuring method. The measurement method according to claim 5 , wherein
The step of obtaining a spatial resolution in each measurement line includes:
Starting the detection of the amplitude of the waveform from the low spatial frequency;
Determining whether the detected amplitude is less than a threshold;
Determining a spatial resolution in each measurement line based on the spatial frequency corresponding to a waveform position having an amplitude detected immediately before the detected amplitude when the detected amplitude is less than the threshold;
Including a measuring method. The measurement method according to claim 5 , wherein
Rotating the measurement area by an angle around the center of the one chart to generate a post-rotation measurement area;
Performing the steps c, d, e on the post-rotation measurement area;
A measurement method further comprising: The measurement method according to claim 5 , wherein
Displaying a value representing the spatial resolution obtained in the measurement area in association with an angle of the measurement area;
A measurement method further comprising: The measurement method according to claim 11 , wherein
A measurement method for displaying a value representing the spatial resolution and an angle of the measurement area in polar coordinates. The measurement method according to claim 12 , wherein
The distance from the pole in the polar coordinate is a measurement method related to a distance between the centers of the plurality of rings and the plurality of ring-shaped positions of the chart having a spatial frequency represented by the distance. The measurement method according to claim 13 , wherein
The measurement method, wherein a distance from the pole in the polar coordinate is related to the spatial resolution. The measurement method according to claim 14 , wherein
The measurement method in which the distance from the center in the polar coordinates represents a value representing the spatial resolution. The measurement method according to claim 11 , wherein
A measurement method for displaying a value representing the spatial resolution and an angle of the measurement area in orthogonal coordinates. Computer program for executing the method according to the computer in any one of claims 5 16. Computer readable storage medium storing computer-readable instructions for executing the method according to the computer in any one of claims 5 16.