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

Inactive Publication Date: 2017-01-04
SHANDONG UNIV OF SCI & TECH
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Problems solved by technology

[0030] In order to overcome the unsatisfactory technical defects of the existing technology for target segmentation with high noise and uneven gray scale, and to meet the quality and efficiency requirements of medical image segmentation, the present invention provides a level-set-based method and a marker-based watershed method. A Segmentation Method of High Noise and Inhomogeneous Gray Images Based on Combination

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  • Segmentation method of high-noise gray-scale non-uniform image

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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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Abstract

The invention discloses a segmentation method of a high-noise gray-scale non-uniform image. The segmentation method is an image segmentation method based on combination of a distance maintenance level set method and a mark watershed method. In the segmentation method of the invention, advantages of the above two methods are used to make up mutual defects; segmentation of a target containing a high noise and a non-uniform gray scale simultaneously is realized; an edge of an interested object can be accurately segmented; and an excess segmentation problem of the image in a traditional watershed method can be overcome. Compared to a traditional level set method, by using the segmentation method of the invention, an operation speed is fast and operation time of an algorithm is not changed along with changes of an image size.

Description

technical field [0001] The invention relates to medical image processing, in particular to the segmentation technology for medical images with high noise and uneven gray scale. Background technique [0002] Image segmentation and object contour extraction are of great significance for image understanding, image analysis, pattern recognition, computer vision, etc. Image segmentation is the key from image processing to image analysis, the purpose is to divide the image into characteristic regions and extract the target process of interest. Medical images include images obtained by CT, MRI and other medical imaging equipment. Medical image segmentation technology is a key technology in medical image processing and analysis. It is a process of dividing an image into several regions according to the similarity and difference in the region. [0003] According to the different characteristics of image segmentation, image segmentation methods can be divided into many categories. ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T2207/20152
Inventor 彭延军李雪王元红卢新明
Owner SHANDONG UNIV OF SCI & TECH
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