Segmentation method of high-noise gray-scale non-uniform image
A high-noise, image technology, applied in the field of medical image processing, can solve problems such as unsatisfactory segmentation effect
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[0106] figure 1 It is a flow chart of the segmentation method of the present invention for high-noise uneven grayscale images. The specific segmentation process has been described in detail in the content of the invention, and will not be described in detail here.
[0107] In order to illustrate the positive effect of the present invention, the artificially synthesized images with high noise and uneven gray scale, MRI brain images and blood vessel maps are taken as examples below, and the watershed image segmentation experiments of control markers are respectively carried out on computers with the same configuration. Distance Preserving Level Set Evolution for Image Segmentation Experiments. In order to quantitatively analyze and evaluate the segmentation quality of various methods, the present invention uses Jaccard Similarity (Jaccard Similarity, JS) coefficient to measure the accuracy of the image segmentation method. The Jaccard similarity coefficient is defined as follow...
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