TWI490457B - System and method for detecting light intensity - Google Patents

Description

Light intensity detection system and method

The invention relates to a light intensity detecting system and method.

When the image measuring instrument is performing image measurement, different types of light sources (contour light, coaxial light, ring light, pattern light) are configured, and the light source is crucial for the image measuring instrument. When the brightness of the light source is dark, the measuring instrument may not clearly display the boundary or surface of the workpiece to be tested. When the brightness of the light source is bright, it is easy to introduce image deformation error, so that the light intensity has a great influence on the measurement result. Therefore, proper light source illumination intensity is very important.

In view of the above, it is necessary to provide a light intensity detecting system and method for accurately calculating the light intensity of the light source to know whether the light source is suitable.

A light intensity detecting system runs in a computer, the computer comprising a storage device for storing image images and a display device. The system comprises: creating a module for creating a color bar, and setting a color corresponding to each gray value in the color bar; a reading module for reading an image image in the storage device; Determining whether the read image image is a grayscale bitmap; the reading module is further configured to read the grayscale bitmap image when the read image image is a grayscale bitmap image Bit map data, the bit map data includes the total number of pixel pixels of the gray scale bitmap and the gray value corresponding to each pixel pixel, the gray value represents the light intensity; the drawing module is used Recording the number of pixels corresponding to each gray value, and plotting the relationship between each gray value and the number of pixels corresponding to each gray value; the drawing module is also used to redraw The gray scale bitmap image is colored according to the color corresponding to the gray value of each pixel point in the gray scale image in the color strip, and the corresponding color is used for coloring on the corresponding pixel point; the display module is displayed The relationship graph is displayed on the device and the re Color gray bit map.

A method for detecting light intensity is applied to a computer, and the computer includes a storage device for storing image images and a display device. The method comprises the steps of: creating a color bar, and setting a color corresponding to each gray value in the color bar; reading an image image in the storage device; determining whether the read image image is a gray bit image, when When the read image image is not a grayscale bitmap, the step of reading the image image in the storage device is returned; when the read image image is a grayscale bitmap image, the grayscale bitmap image is read. Bit map data, the bit map data includes the total number of pixels of the gray bit map and the gray value corresponding to each pixel, the gray value indicates the light intensity; and the corresponding gray value is recorded The number of pixels, and plot the relationship between each gray value and the number of pixels corresponding to each gray value; redraw the gray bit image, according to the gray of each pixel on the gray bit map The color corresponding to the color value in the color bar is colored on the corresponding pixel using the corresponding color; the relationship graph and the gray-colored bitmap image of the re-coloring are displayed on the display device.

Compared with the prior art, the illumination intensity detecting system and method of the present invention uses gray values to represent the light intensity, the gray values have corresponding colors, and then use these colors to map each of the gray bit images. The pixels are re-colored, and the number of pixels under each gray value is counted. Accurately calculate the light intensity of the light source, and can see at a glance whether the light source illumination is uniform, providing a reliable basis for light source detection.

FIG. 1 is a schematic structural view of a preferred embodiment of the illumination intensity detecting system of the present invention. In the present embodiment, the illumination intensity detecting system 10 operates in the computer 1. The computer 1 can be any suitable computing device such as a personal computer (PC), a notebook computer, or a server. The computer 1 includes a storage device 20 and a display device 30. The storage device 20 is configured to store various types of data. In the preferred embodiment, the storage device 20 stores image images. The display device 30 is configured to display various types of images and the like for the computer 1.

As shown in FIG. 2, it is a functional module diagram of the illumination intensity detecting system 10 of FIG. The illumination intensity detection system 10 includes a creation module 200, a reading module 202, a determination module 204, a calculation module 206, a display module 208, and a rendering module 210. The module referred to in the present invention is a computer program segment for performing a specific function, and is more suitable for describing the execution process of the software in the computer than the program. Therefore, the following description of the software is described in the module.

The creation module 200 is used to create a color bar in which 256 colors are defined by default. The creation module 200 also sets the color corresponding to each gray value (0~255) in the color bar. In the preferred embodiment, the gray value indicates the illumination intensity, the gray level is 0 (ie, the light intensity is the smallest), the blue color is used, and the gray value is 255 (ie, the light intensity is the largest), which is marked in red.

The reading module 202 is configured to read image images in the storage device 20.

The determining module 204 is configured to determine whether the read image image is a grayscale bitmap. In the preferred embodiment, the determining module 204 can determine whether the image image is a grayscale bitmap image according to whether the secondary file name of the name of the read video image is "bmp". When the file name of the image picture is "bmp", the determining module 204 determines that the image picture is a gray bit map, and when the file name of the image picture is not "bmp", the determining The module 204 determines that the image picture is not a grayscale bitmap.

When the read image is a grayscale bitmap, the reading module 202 is configured to read the bitmap image of the grayscale bitmap, and the bitmap image includes the grayscale The total number of pixels in the bitmap and the gray value corresponding to each pixel.

The calculation module 206 is configured to obtain a maximum gray value and a minimum gray value from the bit map data, and calculate an average gray value of the gray bit map according to the bit map data. The average gray value is equal to the quotient of the sum of the gray values corresponding to each pixel and the total number of pixels of the gray bit map.

The display module 208 displays the obtained maximum gray value, minimum gray value, and average gray value on the display device 30.

The drawing module 210 is configured to record the number of pixels corresponding to each gray value, and draw a relationship diagram between each gray value and the number of pixels corresponding to each gray value, and the display module 208 is displayed. The relationship graph is displayed on device 30. The drawing module 210 draws the coordinate system as follows: according to the preset origin coordinates, draw the coordinate origin of the relationship graph, and then draw the X axis (the right direction is the X axis positive direction) and the Y axis ( The vertical direction is the positive direction of the Y axis), and the scales of the X and Y axes. The scale may be preset. For example, the scale of the X-axis may be a scale of 15 gray scales, and the scale of the Y-axis may be 11846 pixels. The drawing module 210 draws each pixel on the drawn coordinate system according to the number of pixels corresponding to each gray value of the record, with the gray value as the X axis and the pixel number as the Y axis. A graph showing the relationship between the gradation value and the number of pixels corresponding to each gradation value.

The drawing module 210 is further configured to redraw the gray bit map, and use the gray color value of each pixel on the gray bit map according to the color corresponding to the color bar, and use the corresponding pixel point. The corresponding color is colored, and the re-colored gradation bitmap is displayed on the display device 30.

It should be noted that the light intensity can be accurately understood by displaying the redrawn and colored gray bit map, the relationship graph, the maximum gray value, the minimum gray value, and the average gray value on the display device 30. It is clear at a glance whether the illumination of the light source is uniform, which provides a reliable basis for the detection of the light source.

3 is a flow chart of a preferred embodiment of the illumination intensity detecting method of the present invention. In step S10, the creating module 200 creates a color bar and sets a color corresponding to each gray value (0~255) in the color bar. In the preferred embodiment, the gray value indicates the illumination intensity, the gray level is 0 (ie, the light intensity is the smallest), the blue color is used, and the gray value is 255 (ie, the light intensity is the largest), which is marked in red.

In step S11, the reading module 202 reads the image image in the storage device 20.

In step S12, the determining module 204 is configured to determine whether the read image image is a grayscale bitmap. When the read image picture is a grayscale bitmap, the process proceeds to step S13; when the read image picture is not a grayscale bitmap, the process returns to step S11.

Step S13, the reading module 202 reads the bit map data of the gray bit map, the bit map data includes the total number of pixels of the gray bit map and corresponding to each pixel point. grayscale value.

Step S14, the calculation module 206 obtains the maximum gray value and the minimum gray value from the bit map data, and calculates an average gray value of the gray bit map according to the bit map data, and the display module. 208 displays the obtained maximum gray value, minimum gray value, and average gray value on the display device 30. The average gray value is equal to the quotient of the sum of the gray values corresponding to each pixel and the total number of pixels of the gray bit map.

In step S15, the drawing module 210 records the number of pixels corresponding to each gray value, and plots the relationship between each gray value and the number of pixels corresponding to each gray value, and the display module 208 The relationship graph is displayed on the display device 30.

Step S16, the drawing module 210 redraws the gray bit map, and uses the color corresponding to the gray value of each pixel on the gray bit map in the color bar, and uses the corresponding pixel point. The corresponding color is colored, and the re-colored gradation bitmap is displayed on the display device 30.

As shown in FIG. 4, it is a detailed flowchart of the relationship diagram of the illumination intensity detection method of the present invention.

In step S150, the coordinate origin of the relationship graph is drawn according to the preset origin coordinates.

In step S151, the X axis (the right direction is the X axis positive direction) and the Y axis (the vertical direction is the Y axis positive direction), and the X axis and the Y axis are plotted.

Step S152, according to the number of pixels corresponding to each gradation value of the record, the gradation value is taken as the X axis, and the number of pixel points corresponding to each gradation value is taken as the Y axis, and the drawn coordinate system is used. A graph plotting the relationship between each gray value and the number of pixels corresponding to each gray value is plotted.

In summary, the present invention complies with the requirements of the invention patent and submits a patent application according to law. The above is only the preferred embodiment of the present invention, and the scope of the present invention is not limited to the above-described embodiments, and equivalent modifications or variations made by those skilled in the art in light of the spirit of the present invention are It should be covered by the following patent application.

1. . . computer

10. . . Light intensity detection system

20. . . Storage device

30. . . Display device

200. . . Create module

202. . . Read module

204. . . Judging module

206. . . Computing module

208. . . Display module

210. . . Drawing module

S10. . . Create a color bar and preset the color corresponding to each gray value

S11. . . Reading image images from the storage device

S12. . . Determine whether the read image is a grayscale bitmap

S13. . . Obtaining the bitmap image of the grayscale bitmap

S14. . . Obtaining a maximum gray value and a minimum gray value in the bit map data, and calculating an average gray value of the gray bit map, and displaying the same on the display device

S15. . . Recording the number of pixels corresponding to each gray value, and plotting the relationship between each gray value and the number of pixels corresponding to each gray value, and displaying on the display device

S16. . . According to the color of each pixel in the color bar on the grayscale bitmap, the color is colored by using the corresponding color, and the re-colored grayscale image is displayed on the display device.

1 is a schematic block diagram of a preferred embodiment of the illumination intensity detecting system of the present invention.

2 is a functional block diagram of a preferred embodiment of the illumination intensity detecting system of the present invention.

3 is a flow chart of a preferred embodiment of the illumination intensity detecting method of the present invention.

4 is a detailed flow chart of drawing a relationship graph in the illumination intensity detecting method of the present invention.

S10. . . Create a color bar and set the color corresponding to each gray value

S11. . . Reading image images from the storage device

S12. . . Determine whether the read image is a grayscale bitmap

S13. . . Obtaining the bitmap image of the grayscale bitmap

S14. . . Obtaining a maximum gray value and a minimum gray value in the bit map data, and calculating an average gray value of the gray bit map, and displaying the same on the display device

S15. . . Recording the number of pixels corresponding to each gray value, and plotting the relationship between each gray value and the number of pixels corresponding to each gray value, and displaying on the display device

S16. . . According to the color of each pixel in the color bar on the grayscale bitmap, the color is colored by using the corresponding color, and the re-colored grayscale image is displayed on the display device.

Claims (8)

A light intensity detecting system is operated in a computer, the computer comprising a storage device for storing image images and a display device, the system comprising:
Create a module for creating a color bar and setting a color corresponding to each gray value in the color bar;
a reading module for reading an image image in the storage device;
a determining module, configured to determine whether the read image image is a grayscale bitmap;
The reading module is further configured to: when the read image image is a grayscale bitmap, read the bitmap image of the grayscale bitmap, the bitmap image includes the grayscale The total number of pixels of the meta-image and the gray value corresponding to each pixel, the gray value indicating the light intensity;
The drawing module is configured to record the number of pixels corresponding to each gray value, and draw a relationship diagram between each gray value and the number of pixels corresponding to each gray value;
The drawing module is further configured to redraw the gray bit map, and use the color corresponding to the gray value of each pixel on the gray bit map in the color bar, and use the corresponding pixel point. Coloring the corresponding color;
The display module displays the relationship graph and the gray-scale bitmap image of the re-coloring on the display device. The illumination intensity detecting system according to claim 1, wherein the system further comprises:
a calculation module for obtaining a maximum gray value and a minimum gray value from the bit map data;
The computing module is further configured to calculate an average value of the grayscale bitmap according to the bit map data, where the average grayscale value is equal to a sum of grayscale values corresponding to each pixel and the grayscale bit a quotient of the total number of pixels of the image; and the display module is further configured to display the obtained maximum gray value, minimum gray value, and average gray value on the display device. The illumination intensity detection system according to claim 1, wherein the drawing module draws a relationship diagram between each gray value and the number of pixel points corresponding to each gray value by the following steps:
Drawing the coordinate origin of the relationship graph according to the preset origin coordinates;
Plot the X and Y axes, and the X and Y axes;
According to the number of pixels corresponding to each gradation value of the record, the gradation value is taken as the X-axis, and the number of pixel points corresponding to each gradation value is taken as the Y-axis, and the relationship is drawn on the drawn coordinate system. Graph. The illumination intensity detecting system according to claim 1, wherein the determining module determines whether the image image is a grayscale bitmap image according to whether the auxiliary file name of the read image image is “bmp”. A method for detecting a light intensity is applied to a computer, the computer comprising a storage device for storing image images and a display device, the method comprising:
Create a color bar and set the color corresponding to each gray value in the color bar;
Reading image images in the storage device;
Determining whether the read image image is a grayscale bitmap, and returning to reading the image image in the storage device when the read image image is not a grayscale bitmap;
When the read image image is a gray bit map, the bit map data of the gray bit map is read, and the bit map data includes the total number of pixels of the gray bit map and each pixel point Corresponding gray value, the gray value represents light intensity;
Recording the number of pixels corresponding to each gray value, and plotting the relationship between each gray value and the number of pixels corresponding to each gray value;
Redrawing the gray bit map, according to the color corresponding to the gray value of each pixel on the gray bit map in the color bar, using the corresponding color for coloring on the corresponding pixel;
The relationship graph and the gray-scale bitmap image of the re-coloring are displayed on the display device. The method for detecting an illumination intensity according to claim 5, wherein the method further comprises the steps of:
Obtaining the maximum gray value and the minimum gray value from the bit map data;
Calculating an average value of the gray scale bitmap according to the bit map data, wherein the average gray value is equal to a quotient of a sum of gray values corresponding to each pixel and a total number of pixel points of the gray bit map; The obtained maximum gray value, minimum gray value, and average gray value are displayed on the display device. For example, the method for detecting the illumination intensity according to item 5 of the patent application scope, the relationship diagram of the number of pixels corresponding to each gray value corresponding to each gray value is included:
Drawing the coordinate origin of the relationship graph according to the preset origin coordinates;
Plot the X and Y axes, and the X and Y axes;
According to the number of pixels corresponding to each gradation value of the record, the gradation value is taken as the X-axis, and the number of pixel points corresponding to each gradation value is taken as the Y-axis, and the relationship is drawn on the drawn coordinate system. Graph. The method for detecting the illumination intensity according to claim 5, wherein determining whether the read image image is a grayscale bitmap is determined according to whether the read file name of the read image is "bmp" of.