Image dividing method based on immune multi-object clustering
An image segmentation and multi-objective technology, applied in the field of image processing, to achieve the effect of good diversity, good segmentation results, and fast calculation speed
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[0037] refer to figure 1 with figure 2 , the specific implementation steps of the present invention are as follows:
[0038]Step 1. Extract the features of the image and use the watershed method for initial segmentation. First, perform three-layer wavelet decomposition on the image, extract the feature quantities of 10 sub-generations, and obtain the 10-dimensional wavelet feature of each pixel; secondly, select according to the gray level co-occurrence matrix. Four directions, respectively 0°, 45°, 90° and 135°, extract three quadratic statistics along each direction as texture feature quantities, and the three statistics are homogeneous area, angular second-order moment and Correlation, a total of 12-dimensional feature information; plus the previously obtained 10-dimensional wavelet features to form a total of 22-dimensional features; in order to reduce the amount of calculation, the watershed method is used for initial segmentation, and the number of blocks that are much...
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