Level set method for edge detection of SAR images of airport roads
An edge detection and level set technology, applied in the field of image processing, can solve the problems of unable to obtain edge detection effect, unable to effectively overcome noise interference, unable to obtain satisfaction, etc., to avoid excessive manual intervention, improve accuracy, and overcome noise. the effect of interference
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[0031] refer to figure 1 , the specific implementation steps of the present invention are as follows:
[0032] Step 1: Input the SAR image, and perform median filtering and brightness transformation on the image in turn to obtain the result after image enhancement.
[0033] Step 2. Manually select an initialization seed point on the enhanced image to obtain the corresponding position coordinates (x, y) of the seed point in the image, and start region growth from the initialization seed point.
[0034] (2a) Compare the gray value of the point that is within the 8 neighborhood of the seed point and has not yet grown with the gray value mean of the grown region, and the gray value of the point that is greater than the gray value mean region_mean of the grown region Put the value into u_list, put the gray value of the point that is smaller than the mean value of the gray value of the grown region into l_list, and get the coordinates of the point with the smallest difference betwe...
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