Medical image ROI (Region of Interest) compression method based on lifting wavelet and PCNN (Pulse Coupled Neural Network)
A technology of medical images and compression methods, which is applied in image coding, image data processing, instruments, etc., and can solve the problems of complex orthonormal basis establishment process and so on.
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[0065] Such as figure 1 As shown, the method is generally divided into a preprocessing process, a lossy compression process, a lossless compression process, and a restoration process. In the preprocessing process, there are automatic and manual methods for the segmentation of the region of interest. Automatic segmentation is based on the bimodal characteristics of the gray histogram of the pathological area in the medical image, using single or multiple thresholds for segmentation, but the multi-threshold automatic segmentation method is not complete, it is time-consuming, and has a large gap with the doctor's judgment. gap. Therefore, this paper adopts the artificial interactive difference image segmentation method for image segmentation. In this method, the doctor uses the mouse to circle the pathological area of interest (such as figure 2 shown), and then use the subtraction method to separate the region of interest from the non-interest region. The difference method r...
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