Method for visible serial segmentation of human body slice images based on skeleton angular points

Abstract

Disclosed is a method for visible serial segmentation of human body slice images based on skeleton angular points. The method comprises the steps of loading a serial colored slice data set and a color similarity threshold value; developing a seed point set, selecting multiple seed points manually, and storing the seed points in the seed point set; calculating the color similarity between each seed point and a neighboring pixel, storing a mark if the color similarity is larger than the similarity threshold value, discarding the mark otherwise, and taking the obtained seed point set as the target binary image of the current image; ending the process if the current image is the last one; conducting skeleton extraction on the target binary image to obtain a target skeleton image, and emptying the seed point set; acquiring multiple angular points of the skeleton image with the angular point detection method to serve as the seed point of the next image, and storing the seed points in the seed point set; traversing the image sequence to achieve continuous segmentation until all the images to be segmented are segmented. By means of the method, a target human organ can be obtained from a three-dimensional colored slice image data set continuously and automatically through segmentation.

Description

technical field [0001] The invention belongs to the technical field of human organ visualization, and in particular relates to a method for sequentially segmenting visualized human body slice images based on skeleton corner points. Background technique [0002] Human organ visualization research emerged in the late 20th century, based on information technology and medical science, it is an advanced and interdisciplinary research field. Obtaining and digitizing the basic data of human organ structure is the basis and premise of scientific research on human body visualization, which has high academic significance and research value. At present, the human body visualization research has completed the stage of accurate acquisition of ultra-large-scale (hundred GB level) color slice images. Faced with such huge image data, it is a huge project to extract the geometric model of human organs using heavy manual segmentation or semi-automatic interactive segmentation methods. There...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to meet the needs of visible human body research, solve the problem of fast and accurate segmentation of main organs in visible human body slice images, and thus propose an automatic serialized color image segmentation method for human body slices

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