Image segmentation method based on region correlation

An image segmentation and correlation technology, applied in the field of image processing, can solve problems such as object boundary irregularity, image noise, topology changes, etc., to achieve the effects of avoiding boundary leakage, solving image noise, and reducing inaccuracy

Inactive Publication Date: 2017-01-18
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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[0004] Aiming at the problems of topological structure change, object boundary irregularity and image noise in

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  • Image segmentation method based on region correlation
  • Image segmentation method based on region correlation
  • Image segmentation method based on region correlation

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[0028] The present invention will be further described in detail below in conjunction with the drawings and embodiments.

[0029] The invention is mainly divided into two parts, figure 1 Shown is the principle diagram of the method of the present invention, and the specific implementation process is as follows.

[0030] Step 1: Automatically initialize the level set function.

[0031] Step 1.1: Sequence Morphological Filtering.

[0032] In order to solve the problem of salt and pepper noise in medical images, the present invention proposes a sequence morphology filter for medical image noise reduction. Let I be the input image, I(x,y) represents the gray value of the (x,y) point, and b represents the structural element. Different from traditional morphological methods, the corrosion and expansion operations of grayscale images are defined as follows:

[0033] Corrosion: (IΘb)(x,y)=min{I(x+s,y+t)-b(s,t); (s,t)∈D b ,(x+s,y+t)∈D I }

[0034] Expansion: (I⊕b)(x,y)=max{I(x-s,y-t)+b(s,t); (...

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Abstract

The invention provides an image segmentation method based on region correlation. The method comprises the steps of automatic level set function initializing and level set evolution based on region correlation. Firstly, unlike a traditional level set method, the step of automatic level set function initializing automatically generates a smooth initial contour near a target boundary through sequence morphological filtering and a Gaussian mixture model, which effectively solve the problems of target boundary irregularity and image noise. Secondly, the step of level set energy function regularizing prevents the problems of weak boundary leakage and uneven gray value of a target region by calculating the correlation of the histograms of inner and outer regions of the level set contour. Furthermore, an improved boundary stop function is used to speed up the convergence of the level set function, which effectively prevents the phenomenon of boundary leakage caused by excessive evolution of the level set contour.

Description

technical field [0001] The invention relates to image processing technology, in particular to an image segmentation method based on region correlation. Background technique [0002] Image-guided surgery (IGS) is based on preoperative magnetic resonance (MRI) images, computed tomography (CT) images, positron emission tomography (PET) images, ultrasound images, intraoperative X-ray images, internal Medical images such as speculum images and color video images can accurately identify and locate lesions and surgical areas through image segmentation, registration and visualization technologies, helping surgeons to perform preoperative planning, intraoperative navigation and Postoperative evaluation. Among them, the image segmentation of the anatomical part of interest is an important preprocessing process in the image-guided surgery system. However, manual segmentation that relies on human interaction is not only tedious and time-consuming, but also the segmentation results are...

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Application Information

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IPC IPC(8): G06T7/11G06T7/00
CPCG06T7/0012
Inventor 梁炜谈金东李杨张晓玲
Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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