Dynamic image recognition control method, device and system
A dynamic image and control method technology, applied in character and pattern recognition, transportation and packaging, instruments, etc., can solve problems such as unfavorable user operations, and achieve the effect of simple operation and convenient use
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no. 1 example
[0031] figure 1 It is the flow chart of the first embodiment of the dynamic image recognition control method, including:
[0032] 101. Acquire a dynamic image in an image data buffer.
[0033] It should be noted that the dynamic images are sequentially stored in the image data buffer in the form of frames, wherein the dynamic image collected in real time is set as the current dynamic image, and the previous dynamic image of the current dynamic image is set as the current dynamic image. The image is set as the front dynamic image.
[0034] 102. Extract a moving target in the current dynamic image.
[0035] The current dynamic image includes a moving target and a background image, wherein the background image does not change in the short term, while the moving target moves in real time, so the moving target can be separated from the background image to effectively extract the The moving target in the current dynamic image.
[0036] 103. Track the moving object and determine ...
no. 2 example
[0041] figure 2 It is a flow chart of the second embodiment of the dynamic image recognition control method, including:
[0042] 201. Acquire a dynamic image in an image data buffer.
[0043] Wherein, the dynamic image collected in real time is set as the current dynamic image, and the previous dynamic image of the current dynamic image is set as the preceding dynamic image.
[0044] 202. Determine a foreground object according to the current dynamic image and the background image.
[0045] During the working process, the pixel of the current dynamic image is subtracted from the corresponding pixel in the background image, and when the absolute value of the obtained difference is greater than the preset pixel, it is judged as the pixel of the foreground object.
[0046] It should be noted that the current dynamic image includes a foreground object and a background image, wherein the background image does not change in a short period of time, and the foreground object may be...
no. 3 example
[0061] image 3 It is the flow chart of the third embodiment of the dynamic image recognition control method, including:
[0062] 301. Acquire a dynamic image in an image data buffer.
[0063] 302. Perform brightness normalization processing on the current dynamic image.
[0064] It should be noted that the current dynamic image stored in the image data buffer is a grayscale image, therefore, the current dynamic image needs to be processed to normalize the brightness, and each part of the current dynamic image is equalized and normalized to The same brightness state, so that the light intensity does not affect future judgments.
[0065] 303. Determine a foreground object according to the current dynamic image and the background image.
[0066] 304. Perform binarization processing on the foreground object and determine connected regions.
[0067] Through binarization processing, the foreground object presents an obvious black and white effect, effectively highlights the out...
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