JP3036103B2 - Image processing apparatus and method - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an image processing apparatus and method, and more particularly, to an image processing apparatus and method, which is provided with an image binarization processing function and follows a change in illumination conditions or the like to perform the binarization processing.
The present invention relates to an image processing apparatus and method for variably adjusting a binarization threshold.

[0002]

2. Description of the Related Art One of image processing systems is a digital system. In the digital method, an image obtained by imaging with an imaging device or the like is once digitized, and data is processed using an electronic computer. At the time of the digitization, a binarization process is performed based on a predetermined threshold level. The binary image obtained by binarization is a black and white binary image composed of pixels that become black (1) and pixels that become white (0). When the binary image is obtained, an area measurement process of white pixels or black pixels is performed on the binary image, and a process is performed so that a captured subject is identified based on the measurement result.

In the above-described image processing, when imaging conditions such as illumination change, it is necessary to readjust the binarized threshold level in order to maintain measurement accuracy. A method of automatically adjusting the binarization threshold in such a case will be described below.

FIG. 7 is a schematic configuration diagram of an image processing apparatus applied to a conventional example and an embodiment of the present invention.

In the figure, an image processing apparatus inputs a camera unit 1 for picking up an object (hereinafter referred to as a work) 4 to be image-processed, and an image signal obtained by the camera unit 1. A controller unit 2 performs data processing according to a predetermined program, and a video monitor unit 3 displays a data processing result in the controller unit 2 on a monitor screen 10 (not shown).

FIG. 8 is a diagram showing a display example of a monitor screen by image processing in a conventional image processing apparatus.

[0007] As shown in the figure, the monitor screen 10 of the video monitor section 3 has an object K1 to be measured within the same screen display area.
Measurement area (hereinafter referred to as measurement window)
KW and a reference region (hereinafter, referred to as a reference window) R in which a reference object RF whose size and shape are always constant is projected.
W.

[0008] The user performs the following setting operation while monitoring the monitor screen 10.

A binarization threshold is set for an image displayed on the monitor screen 10. (The window K
A binarization threshold is set so that W and RW are always common. Next, in addition to the measurement target object K1, a reference object RF (having a constant size and shape) is displayed in the display area of the monitor screen 10.

Next, a CAD (Compute) is performed on the measurement target object K 1 in the display area of the monitor screen 10.
The measurement window KW is set by an r Aided Design (CAD) operation.

Further, a reference window RW is set in the same manner for the reference object RF in the display area.

At the time of measurement, the controller unit 2 of the image processing apparatus uses the reference object RF in the reference window RW.
, And operates to adjust the binarization threshold value so as to maintain the measured value.

As described above, the reference object RF whose area value is constant is projected in one reference window RW in one screen, and the measured area value of the object always shows a constant value. In general, a method of variably setting a binarization threshold value commonly applied to each window of the monitor screen 10 so as to maintain the threshold value is maintained.

[0014]

As described above, when only one measurement target object is measured, only one binarization threshold value needs to be set. The level of the binarization threshold can be adjusted by following a change in lighting conditions at the time. However, when a plurality of measurement windows are set in the same monitor screen and a different binarization threshold is set for each of the measurement windows, there is only one reference window and the binarization threshold is 1 In the conventional method in which only one variable adjustment can be performed, the level adjustment of the binarization threshold in each measurement window cannot follow the fluctuation of the illumination condition at the time of imaging, and the measurement accuracy is significantly reduced. there were.

On the other hand, if the measurement accuracy is to be maintained, only one measurement window can be provided in the same monitor screen as described above. There was also a problem that it was not possible to achieve high speed.

Therefore, an object of the present invention is to individually set binarization levels for a plurality of different display areas in the same screen, and to make each of the binarization levels follow illumination light fluctuation at the time of imaging. It is an object of the present invention to provide an image processing apparatus and method capable of variably adjusting the image processing and improving the accuracy and speed of image processing in each display area.

[0017]

An image processing apparatus according to the present invention converts binary image data based on a video signal obtained by imaging under uniform illumination light into a plurality of different display images on the same screen. An image processing apparatus for displaying and processing each of regions, a display region specifying means for individually outputting a signal for specifying each display region, and a signal conversion device for inputting a video signal, converting the image signal into image data, and outputting the image data Means and a binarization level for binary image data corresponding to each display area, and stores the input image data in response to input of image data output from the signal conversion means. Binary data conversion means for individually converting to binary image data corresponding to each binarization level based on the binarization level, display area data derivation means, illumination fluctuation detection means, and binarization level setting means Composed with

The display area data deriving means inputs the binary image data converted by the binary data converting means and the specific signal output by the display area specifying means, and outputs the binary image displayed in each display area. Derive only data individually. The illumination change detecting means detects a change in the density of the image based on the binary image data corresponding to the predetermined display area derived by the display area data deriving means,
A change in the illumination light is detected based on the detected displacement. The binarization level setting means detects each binarization level stored in the binary data conversion means so as to correct the illumination light fluctuation in response to the detection of illumination light fluctuation by the illumination fluctuation detection means. Variably set based on the shaded displacement that has been performed.

According to the image processing method of the present invention, a binary image based on a video signal obtained by imaging under uniform illumination light is displayed on each of a plurality of different display areas in the same screen and processed. A level setting step of setting a binarization level for a binary image corresponding to each of the plurality of display areas; and a binary setting in a predetermined display area of the plurality of display areas. A density displacement detecting step of detecting the density displacement of the image, a variation determining step of determining whether the illumination light has changed based on the detected density displacement, and in response to the determination that the variation has occurred by the variation determining step, A level variable setting step for variably setting a binarization level corresponding to each of the plurality of display areas set in the level setting step based on the grayscale displacement detected to correct the fluctuation of the illumination light. Tsu constituted a flop.

[0020]

The image processing apparatus according to the present invention is configured as described above, and the illumination fluctuation detecting means is based on the binary image data corresponding to the predetermined display area derived by the display area data deriving means. If the illumination light fluctuation detecting means detects the fluctuation of the illumination light based on the detected light and dark displacement, the binarization level setting means responds to the binary data conversion means. 2 previously stored
The binarization level is variably set based on the detected grayscale displacement so as to correct the detected illumination light fluctuation. Therefore, even when the binarization level is set for each of a plurality of different display areas in the same screen and the image processing is performed independently for each area, it is possible to follow the fluctuation of the illumination light at the time of imaging in real time. , Each binarization level can be automatically adjusted individually. Therefore, the accuracy of the image processing in each display area can be always kept constant irrespective of the fluctuation of the imaging (illumination light) condition.

The image processing method according to the present invention is configured as described above, and the density displacement of the binary image is detected in a predetermined display area by the density displacement detecting step and the fluctuation determining step, and the detection result is obtained. When it is determined that the illumination light has fluctuated based on the determination, the level variable setting step is responsive to this determination and the plurality of levels set by the level setting step based on the grayscale displacement detected to correct the fluctuation of the illumination light A binarization level corresponding to each of the display areas is variably set. Therefore, even when the binarization level is set for each of a plurality of different display areas in the same screen and image processing is performed simultaneously for each area, the fluctuation of the illumination light at the time of imaging is tracked in real time. Each binarization level can be automatically adjusted individually. Therefore, the accuracy of the image processing in each display area can be always kept constant irrespective of the fluctuation of the imaging (illumination light) condition.

[0022]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Two embodiments of the present invention will be described below in detail with reference to the drawings.

First, a first embodiment will be described.

The image processing apparatus according to the first embodiment detects a change in the illumination condition by detecting a change in the area value of a binary image of a plurality of different reference objects, and accordingly, detects a plurality of measurement windows KWi ( It operates to variably adjust each binarization level for i = 1, 2, 3,..., m).

FIG. 1 is a schematic block diagram of a controller of an image processing apparatus according to a first embodiment of the present invention.

FIG. 2 is a diagram showing a display example of a monitor screen at the time of measurement of the image processing apparatus according to the first embodiment of the present invention.

As shown in FIG. 2, the video monitor 3
Are displayed on the monitor screen 10, and the measurement windows KW1 and KW2 are displayed on them.
And KW3 are respectively set by the CAD operation.

At the same time, reference objects RF1 and RF2 are projected on the monitor screen 10, and reference windows RW1 and RW2 are set for these objects by CAD operation.

Therefore, the windows KW1 to KW3 are used for measuring the objects to be measured K1 to K3. The windows RW1 and RW2 are windows for projecting reference objects RF1 and RF2 whose sizes and shapes are invariable, respectively, and are used for detecting illumination light fluctuations during imaging.

Further, a plurality of windows set on the monitor screen 10 include two different windows for each window.
A threshold value is set. The details of this binarization threshold setting will be described later.

The number of reference windows set in the same monitor screen may be one. However, by providing a plurality of reference windows, the accuracy of the binarization level adjustment in each measurement window is improved. In this case, reference objects RF1 and RF2 having different densities are projected on the reference windows RW1 and RW2, and are binarized using different binarization levels.

The binarization level to be initialized when the image processing apparatus is started is determined by the window K
For W1 to KW3, the binarization level L
K1 to LK3, and the windows RW1 and R
For W2, the binarization levels LR1 and L
R2.

In FIG. 1, the controller unit 2 is configured to display up to eight different windows on the monitor screen 10. Then, a video signal given from the camera unit 1 connected to the previous stage is input, and the image subjected to the binarization processing while correcting the fluctuation of the lighting conditions is displayed on the monitor screen 10 of the video monitor unit 3 at the next stage. For example, a screen is displayed as shown in FIG. 2, and the area value in each window is detected.

The controller unit 2 includes a look-up table (LUT) 20, a frame memory 21, a window memory 22, a measuring unit 23, an A / D converter (analog / digital converter) 27, and a CPU (central processing unit) 28.
And an input / output interface 29.

The A / D converter 27 samples the video signal supplied from the camera unit 1 connected at the preceding stage based on a predetermined sampling period, converts it into an 8-bit digital signal, and is connected to the next stage. This is given to the lookup table 20. Therefore, the A / D converter 27
Has a value from 0 to 255 that indicates the gradation of the video signal stepwise.

The camera section 1 captures an image of the work 4 including the measurement objects K1 to K3 and the reference objects RF1 and RF2 under uniform light illumination. The uniform light in the illumination condition refers to an illumination condition in which an effective display area in the monitor screen 10 is illuminated by the same illumination light source.

The input / output interface 29 electrically connects the CPU 28 connected to the preceding stage, the keyboard 30 and the video monitor 3. Therefore, data input by a key through the keyboard 30 is converted by the input / output interface 29 and provided to the CPU 28. The data output from the CPU 28 is displayed on the monitor screen 10 of the video monitor unit 3 via the input / output interface 29, and on the contrary,
Input via the I / O interface 2
9 to the CPU 28.

The look-up table 20 is a kind of memory. This table 20 has the same monitor screen 1
A binarization level is individually set in advance for each window set to 0. The set binarization level is stored in the lookup table 20 as a table corresponding to each window. Therefore, each of the binarized level tables provided for each of the windows corresponds to the A / D converter 27 connected to the preceding stage.
The binary image data (0 or 1) read out from the addressed memory area, which is addressed accordingly, is derived respectively.

The binary data stored in the look-up table 20 is stored in the
The address is specified by an address signal applied via the U address bus 25 and the CPU data bus 26, and is stored in advance by writing the simultaneously applied data signal.

Here, a method of setting data of the binarization level for each window in the lookup table 20 will be described.

FIG. 3 is a diagram for explaining the binarization level set in the look-up table 20 shown in FIG.

In FIG. 3, the input (X) on the horizontal axis is the A /
This represents grayscale image data output from the D converter 27.
Therefore, the value of the input (X) is 256 from 0 to 255.
The output (Y) on the vertical axis indicates binary data (0 or 1) set for each of the 256 gradations of the input (X). As shown,
It is assumed that the binarization level LV = 128 is set. The input (X) is applied to a look-up table 20 as a read address signal, so that the table 20 is addressed and the binary level L
Binary data of 0 or 1 is read out from the designated address and derived from V.

Here, the binarization levels LK1 to LK corresponding to each window set in the lookup table 20
A method of changing the set values of K3 and LR1 and LR2 will be described.

When the illumination condition fluctuates in the imaging condition,
Following this, the binarization level for each window is adjusted. Since the density of the entire screen fluctuates due to the fluctuation of the illumination state, the control unit 2 adjusts the binarization levels LR1 and LR2 so that the area measurement values in the reference windows RW1 and RW2 of the monitor screen 10 maintain a constant value. Perform That is, the CPU 28 adjusts the values of the binarization levels LR1 and LR2 stored in the look-up table 20 via the CPU address bus 25 and the CPU data bus 26. The CPU 21 compares the adjusted levels LR1 and LR2 with L
It is temporarily stored in its internal memory as R11 and LR22. After that, based on the displacement of the binarized levels of the windows RW1 and RW2, another measurement window K
The respective binarization levels of W1 to KW3 are corrected. That is, the correction amount corresponds to the variation amount of the illumination light at the time of imaging, and this correction is performed by using the binary levels LK1 to LK3.
By adding to each of the, even if the illumination light conditions fluctuate,
Highly accurate image processing can always be performed.

Based on the displacement of the binarized levels of the windows RW1 and RW2, another measurement window KW1
Levels LK1 to LK after correction of KW3
3 are LK11, LK22 and LK33, respectively, LK11 = a.LK1 ... LK22 = a.LK2 ... LK33 = a.LK3 ... (where a is (LR11 / LR1) and (LR22 / L
R2)).

Here, the binarized levels LK1 to LK3
The basis of the correction method using the above equations (1) to (4) will be described.

FIG. 4 is a graph showing an input / output relationship by a gamma correction operation in a general video camera.

In general, in a video camera, as shown in FIG. 4, the level of a luminance signal (corresponding to the input (X1) in FIG. 4) contained in the illumination light at the time of image pickup is subjected to a so-called gamma correction conversion operation. Output later. This corresponds to the output (Y1) in FIG.

In FIG. 4, the input (X1) and the output (Y1)
Is expressed as Y1 = b × X1γ (b, γ: constant, generally γ = 1.0 or 1 / 2.2).

In the image processing apparatus, it is assumed that the input luminance of each display area in the monitor screen 10 obtained by imaging under uniform light illumination fluctuates at the same ratio with the fluctuation of the illumination. If the luminance of the input image fluctuates A times, the image density in each measurement area in the screen becomes Aγ times uniformly.

Therefore, when it is detected that the binarization level LR1 or LR2 in the reference window RW1 or RW2 of the monitor screen 10 has changed by c times, the binarization level L of each of the other measurement windows KW1 to KW3 is detected.
Each of K1 to LK3 is also expected to be uniformly c-fold. Therefore, based on the above equations (1) to (4), each of the binarized levels LK1 to LK3 can be easily corrected while following the illumination fluctuation.

In the above, the binarization level is automatically adjusted by the CPU 28. However, the binarization level corresponding to each window can be manually set in the lookup table 20 by the user. This is performed as follows.

The user operates the cursor keys such as “up arrow” and “down arrow” on the keyboard 3 while viewing the binary image displayed on the monitor screen 10 through the currently set binarization level. By operating, the binarization threshold value set in the lookup table 20 is changed. At this time, since the key input data by the cursor key operation is given to the CPU 28 via the input / output interface 29, the CPU 28 accesses the look-up table 20 via the address bus 25 and the data bus 26, and Binary levels LK1 to LK3 and LR1 and LR2 corresponding to each stored window.
Is rewritten at the same ratio and the setting is changed.

As described above, the lookup table 20
, The LK1 to LK3 and LR1 and LR2 are initialized so as to be different for each window, and are updated according to the illumination fluctuation.

In FIG. 1, a frame memory 21 is a digital memory for storing one frame of data output from the lookup table 20. The window memory 22 stores the display areas of the measurement objects K1 to K3 and the reference objects RF1 and RF2 on the monitor screen 1.
The window signal WS is stored for each window in order to set it in the effective display area of 0. The window signal WS is sent to the address data bus 2 by the CPU 28.
5 and 26 are written into the memory 22 as a dot image and read out from the window signal WS.
Is given to the measuring unit 23.

The measuring section 23 has measuring circuits 241 to 248 each including eight measuring modules. Each of the measurement circuits is prepared for each window provided on the monitor screen 10 of the video monitor section 3 and simultaneously receives eight types of binary image signals derived from the look-up table 20 connected at the preceding stage and simultaneously inputs the binary image signals. Data processing is possible.

FIG. 5 is a processing flow chart showing an initial setting operation at the time of image processing and an operation at the time of operation in the image processing apparatus according to one embodiment of the present invention.

This processing flow is stored in the internal memory of the CPU 28 in advance as a program, and is executed and controlled by the CPU 28 itself.

Next, the operation of initializing the binarization level in the image processing apparatus according to one embodiment of the present invention will be described with reference to FIG.
5 will be described with reference to FIGS.

Assuming that the camera unit 1 shown in FIG. 1 has imaged the work 4 including the measurement objects K1 to K3 and the reference objects RF1 and RF2 under uniform light illumination.
The analog video signal is supplied to the next stage A / D converter 2
7 given. The A / D converter 27 samples the applied video signal based on a predetermined sampling period, converts the sampled image signal into grayscale image data represented by an 8-bit digital signal, and provides the grayscale image data to the lookup table 20 at the next stage. The look-up table 20 is addressed by the gray-scale image data in response to the gray-scale image data being supplied, and from the specified address, as shown in FIG. A binary signal of 0 or 1 is read out and derived for each window.

In this case, the binary image signal read from the lookup table 20 is
Measurement processing is performed by passing through each of 41 to 245,
Video monitor unit 3 via input / output interface 29
Is displayed on the monitor screen 10 as an image.

The user looks at the image on the monitor screen 10 displayed as described above and, as shown in FIG.
The measurement windows KW1 to KW3 are respectively set for the measurement target objects K1 to K3 by the D operation or the like, and the reference objects RF1 and RF2 are similarly set.
, Reference windows RW1 and RW
2 are set respectively. In response, the execution of the processing flow shown in FIG. 5 is started. This processing flow includes steps ST1 (abbreviated as ST1 in the figure) to step ST1.
4 and a process in an operating state including steps ST5 to ST8.

The CPU 28 reads each of the windows drawn on the monitor screen 10 of the video monitor section 3 via the input / output interface 29 in the processing of steps ST1 and ST2 in FIG. 5, and transfers the read data to the CPU address. Bus 25 and CPU data bus 2
6 and stored individually in the window memory 22 as bit patterns.

Thereafter, in the next step ST3, the CPU 28 accesses the look-up table 20 and sets a binarization level for each of the set windows. The binarization level is set by the user inputting a key through the keyboard 30 as described above, or the CPU 28 loads an initial value previously stored in its internal memory into the lookup table 20. It may be set as follows.

Thereafter, in the process of step ST4,
The CPU 28 measures the area value of the image in the reference windows RW1 and RW2. Then, the area values are stored in the internal memory of the CPU 28 in advance. This is the initial value of the area value of the reference windows RW1 and RW2, and serves as a reference value for confirming whether or not the illumination fluctuation condition described later is satisfied.

As described above, the window memory 22
When predetermined data is initialized in the lookup table 20 and the area values of the reference windows RW1 and RW2 are measured and the initialization processing is completed,
The process proceeds to the process in the operating state shown after step ST5.

In the process of the operating state, the CPU 28 first executes the process of step ST5. In the process of step ST5, each area value of the reference windows RW1 and RW2 is measured. Then, the displacement is calculated by comparing each measured area value with the initial value of each area value stored in the internal memory in advance. From the calculated displacement value, a change in illumination condition due to deterioration of the illumination light source or the like is detected. CP
U28 temporarily stores the displacement of the area value in its internal memory. Then, in the process of the next step ST6, it is determined whether or not the illumination condition has changed based on the displacement of the area value. For example, the determination is that the displacement of the area value is a predetermined ratio (for example, 2%) to the initial value of the area value.
0%) or more, it is determined that the lighting conditions have changed.

The CPU 28 responds to the determination in the step ST6 that the determination has been made, and returns to a step ST7 to be described later.
Move to the subsequent processing. However, if the determination in step ST6 is unsuccessful, the process returns to step ST5 again, and repeats the loop processing of steps ST5 and ST6 to measure the change in the area value of the reference windows RW1 and RW2 and to measure the change in the illumination condition. Operate to detect the presence or absence.

The processing of steps ST7 to ST9, which is executed in response to the determination that there is a change in the illumination condition in step ST6, corrects the binarization level of each window in response to the degree of the change in the illumination condition. It is such processing.

First, in the process of step ST7, C
The PU 28 measures the area so that the area values of the reference windows RW1 and RW2 are closest to the initial values of the area values stored in advance, and performs the corresponding binarization levels LR1 and LR1 of the lookup table 20 as described above. LR
The variable adjustment of 2 is performed. If the binarization level adjustment width is variably set based on the displacement obtained in step ST5, the measured area value can quickly reach and maintain near the initial value.

Thereafter, in the process of step ST8,
Each of the binarization levels LK1 to LK3 for each of the measurement windows KW1 to KW3 is corrected in accordance with the above-described equations. Each of the binarized levels LK11 to LK33 obtained by the correction is reset in the lookup table 20 as each of the binarized levels LK1 to LK3. Thereafter, step ST5 is performed again.
Then, the process is repeated in the same manner.

As described above, the binarization levels LR1 and LR2
And LK1 to LK3 are stored in the look-up table 20 while being corrected so as to follow variations in illumination. Thereafter, the process returns to step ST15, and the same process is repeated thereafter.

The above-described method of detecting a change in illumination condition according to the first embodiment is performed based on a change in the area value of an image in the reference windows RW1 and RW2. This can be performed based on the fluctuation of the average value of the image densities of the pixels in the reference windows RW1 and RW2, as shown in the second embodiment.

Next, a second embodiment will be described.

FIG. 6 is a diagram showing a display example of a monitor screen at the time of measurement of the image processing apparatus according to the second embodiment of the present invention.

Since the functional configuration and operation of the image processing apparatus according to the second embodiment are the same as those of the first embodiment, detailed description will be omitted.

The image processing apparatus according to the second embodiment does not project an object on the reference windows RW1 and RW2,
The window RW1 and RW2 are set so that a portion where the color does not change (for example, a background portion of the screen) is projected.

The control unit 2 calculates in advance the average value of the image densities of the pixels in the windows RW1 and RW2, and individually stores them in the internal memory as initial values GD1 and GD2. The average value of the image densities is obtained by temporarily taking the input image into the frame memory 21 and calculating the sum of the image densities of the pixels in the reference windows RW1 and RW2.
By dividing by the total number of pixels.

When the CPU 28 enters the operating state, the CPU 28 calculates the average values of the image densities of the reference windows RW1 and RW2 as described above, and sets the obtained measured density average values as GD11 and GD22, respectively. At this time, the initial values DG1 and GD2 and the average values GD11 and GD2
2, the displacement of the image density is calculated, and the presence or absence of a change in the illumination condition is determined based on the displacement amount. At this time,
When it is determined that the illumination condition has changed, the binarization levels of the reference windows RW1 and RW2 are variably adjusted so that the measured density average value becomes the initial value. afterwards,
(D is the average value of (GD11 / GD1) and (GD22 / GD2)) LK11 = d · LK1... LK22 = d · LK2... LK33 = d · LK3. The levels LK1 to LK3 may be updated in the look-up table 20.

As described above, in the first embodiment, the image area values of the reference windows RW1 and RW2 are used, and in the second embodiment, the binarization level is varied by following the illumination fluctuation using the image density value. Set.

Further, by providing a plurality of reference windows as described above and taking the average of the image area value and the image density value, noise components can be removed and the correction accuracy can be improved. It is desirable to set two or more as shown in the present embodiment.

[0082]

According to the image processing apparatus and the image processing method according to the present invention, the binarization level is set for each of a plurality of different display areas in the same screen, and the image processing is independently performed for each area. Even in such a case, each binarization level can be automatically adjusted individually by following the fluctuation of the illumination light during imaging in real time.

Therefore, the accuracy of the image processing in each display area can always be kept constant irrespective of the fluctuation of the imaging (illumination light) condition, so that the accuracy and speed of the image processing can be promoted.

[Brief description of the drawings]

FIG. 1 is a schematic configuration diagram of a controller of an image processing apparatus according to a first embodiment of the present invention.

FIG. 2 is a diagram illustrating a display example of a monitor screen at the time of measurement of the image processing apparatus according to the first embodiment of the present invention.

FIG. 3 is a diagram for explaining a binarization level set in a look-up table shown in FIG. 1;

FIG. 4 is a graph showing an input / output relationship by a γ correction operation in a general video camera.

FIG. 5 is a processing flowchart showing an initial setting operation at the time of image processing and an operation at the time of an operation state in the image processing apparatus according to an embodiment of the present invention.

FIG. 6 is a diagram illustrating a display example of a monitor screen at the time of measurement of the image processing apparatus according to the second embodiment of the present invention.

FIG. 7 is a schematic configuration diagram of an image processing apparatus applied to a conventional example and an embodiment of the present invention.

FIG. 8 is a diagram illustrating a display example of a monitor screen by image processing in a conventional image processing apparatus.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Camera part 2 Controller part 3 Video monitor part 4 Work 20 Look-up table 22 Window memory 23 Measurement part 27 A / D (analog / digital) converter K1, K2 and K3 Measurement object RF1 and RF2 Reference object KW1, KW2 and KW3 measurement window RW1 and RW2 reference window LV binarization level In each drawing, the same reference numerals indicate the same or corresponding parts.

Claims (2)

(57) [Claims] An image processing apparatus for displaying and processing binary image data based on a video signal obtained by imaging under uniform illumination light in each of a plurality of different display areas in the same screen. A display area specifying means for individually outputting a signal for specifying each of the display areas; a signal converting means for inputting the video signal, converting the video signal into image data and outputting the image data; A binarization level for value image data is stored in advance, and in response to the input of the image data output from the signal conversion means, the input image data is stored on the basis of each of the stored binarization levels. Binary data conversion means for individually converting the binary image data into the binary image data corresponding to each of the binarization levels; and outputting the binary image data converted by the binary data conversion means and the display area specifying means. A display area data deriving unit for individually deriving only the binary image data displayed in each of the display areas by inputting the specific signal to be displayed in the display area; and a predetermined region derived by the display region data deriving unit. An illumination variation detection unit configured to detect a change in density of the image based on the binary image data corresponding to the display area, and detect a variation in the illumination light based on the detected displacement; In response to the detection of the fluctuation of the illumination light by the fluctuation detection means, the binary level stored in the binary data conversion means is corrected based on the detected light and shade displacement so as to correct the fluctuation of the illumination light. An image processing apparatus, comprising: 2. An image processing method for displaying and processing a binary image based on a video signal obtained by capturing an image under uniform illumination light in each of a plurality of different display areas in the same screen. A level setting step of setting a binarization level for the binary image corresponding to each of the plurality of display areas; and setting the binary value in a predetermined display area of the plurality of display areas. A grayscale displacement detecting step of detecting a grayscale displacement of an image; a fluctuation determining step of determining whether or not the illumination light has fluctuated based on the detected grayscale displacement; and responding to the determination of the fluctuation by the fluctuation determining step. Then, the binarized level corresponding to each of the plurality of display areas set in the level setting step based on the grayscale displacement detected to correct the fluctuation of the illumination light. Was a level variable setting step for variably setting, the image processing method.