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Human body slice image automatic segmentation method based on shared matting and ROI gradual change

An automatic image segmentation and image technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of inaccurate segmentation results and errors, and achieve the effects of reducing resource consumption, flexible operation, and improving the degree of automation

Active Publication Date: 2019-09-27
DALIAN UNIV OF TECH
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Problems solved by technology

However, since this method is used to segment multiple serialized images, errors will be generated during the segmentation process and gradually accumulate, making the segmentation results not very accurate

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  • Human body slice image automatic segmentation method based on shared matting and ROI gradual change
  • Human body slice image automatic segmentation method based on shared matting and ROI gradual change
  • Human body slice image automatic segmentation method based on shared matting and ROI gradual change

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Embodiment Construction

[0036] In order to make the technical solutions and advantages of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the drawings in the embodiments of the present invention:

[0037] Such as figure 1 The shown a kind of automatic segmentation method of human body slice image based on shared matting and ROI gradient specifically includes the following steps:

[0038] S1: Read the region of interest of the image, and roughly scribble on the region of interest to obtain the skeleton part. The first image to be segmented is as follows figure 2 As shown, the hand-drawn graffiti part is as follows image 3 shown.

[0039] S2: Properly select the area A inside the region of interest, such as Figure 4 As shown, the region can contain most of the region of interest. Find out the color difference range between this area and the graffiti pixels, record the maximum colo...

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Abstract

The invention discloses a human body slice image automatic segmentation method based on shared matting and ROI gradual change. The method comprises the following steps: S1, roughly doodling an interested area; S2, selecting an internal region A of the region of interest; S3, covering the region of interest and reading a boundary region of the region of interest; S4, defining a foreground region of the internal region A as a white part, defining a middle part as a gray part, defining a background region as a black part, and obtaining a tripartite graph of the region of interest; S5, obtaining a black-and-white mask of the region of interest by adopting a shared matting algorithm according to the tripartite graph information, and obtaining a foreground skeleton of the black-and-white mask by applying a refinement algorithm; S6, taking the foreground skeleton as a foreground graffiti of the next picture, and obtaining a tripartite graph of the next picture by adopting a flooding algorithm; and S7, repeating the steps S5 to S6 until all the pictures are processed to obtain black and white masks of the regions of interest of all the pictures.

Description

technical field [0001] The invention relates to the technical field of image segmentation, in particular to a method for automatic segmentation of human body slice images based on shared matting and ROI gradients. Background technique [0002] Image segmentation aims to extract foreground elements in images through color and opacity, and is one of the main means of medical image segmentation. Although a lot of progress has been made in improving the accuracy of matting technology in recent years, there are still some common problems. For example, in the prior art, the alpha matting method is used for image extraction, but the tripartite map of all images needs to be given. In alpha segmentation, each unknown pixel searches for the entire circular area centered on itself, while the shared matting algorithm divides the circle into many sectors, and adjacent pixels search for non-overlapping sector areas, which improves processing efficiency. However, since this method is used...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/136G06T7/194G06T7/90
CPCG06T7/11G06T7/136G06T7/194G06T7/90G06T2207/10024G06T2207/30196G06T2207/20104
Inventor 刘斌吴征阳王晨璐庞世宇
Owner DALIAN UNIV OF TECH
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