Digital human serial section image segmentation method based on geometric active contour target tracking

Abstract

The invention discloses a digital human serial section image segmentation method based on geometric active contour target tracking, comprising the following steps: 1) inputting a first layer digital human serial section image which includes a target to be segmented; 2) initializing the target contour by intelligent scissors; 3) generating a target contour matching score image; 4) smoothening the target contour matching score image generated in step 3); 5) using a self-adopting geometric active contour model tracking to obtain the target contour of current layer; and 6) storing the target contour segmentation result of current layer, simultaneously taking the result as an initial target contour of next layer and returning to step 3) to continue the target tracking to obtain subsequent target contour. The digital human serial section image segmentation method can accurately and robustly segment the target contour of the digital human serial section image and simultaneously has the advantages of high automation level and processing of topology change of the target contour.

Description

technical field [0001] The invention belongs to picture fields like processing and analysis, especially medical sequences picture In the field of image analysis, a sequential slice of digital human based on geometric active contour object tracking is presented picture Like the split method. Background technique [0002] Digital virtual human research is a cutting-edge research field where medicine and information science intersect. The first stage of digital virtual human visual human body is to use tomography and continuous slices of human body to obtain human anatomical structure data, and then reconstruct three-dimensional in the computer Model. in the whole process, picture Segmentation is a very important key issue, such as picture 3D visualization of images, picture like content analysis, picture The solution to problems like the measurement of the picture like segmentation results. With the improvement of slicing processing precision, "how to improve human bo...

AI Technical Summary

Problems solved by technology

However, the current segmentation methods have some defects, such as slow speed, poor robustness, and low degree of automation, so the current digital human segmentation mainly relies on manual segmentation, or segmentation with the help of certain tools, such as Photoshop software and VOXEL-MAN software

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