Image-correlation-evaluation-based method for determining image segmentation threshold
An image segmentation and correlation technology, which is applied in image enhancement, image data processing, instruments, etc., can solve the problems of ineffective light point segmentation and affecting the normal measurement of CCD optical imaging sensors, and meet the requirements of measurement tasks. Robust, high refresh rate effects
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[0018] like figure 1 As shown, it is a block diagram of the method of the present invention. After the integral image of the CCD head is input, the main steps of image threshold determination are as follows:
[0019] 1. Statistical evaluation of image gray level
[0020] The gray scale of all pixels of the light point signal should be greater than a certain threshold value. The noise maximum determined from the histogram of the noise distribution is used as the threshold. First, select several pixels in the image of a specific area evenly and discretely according to the sampling interval, count the number of pixels in each gray level, and calculate the background mean value of the image and the proportion of the number of pixels in each gray level in the image. .
[0021] Let the number of pixels of each gray level be: S 0 , S 1 , S 2 ,...,S 255 .
[0022] 2. Image correlation analysis
[0023] Traverse each gray level from the minimum gray level to the maximum gray l...
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