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Efficient medical image segmentation method based on game framework

A medical image and image segmentation technology, applied in the field of computer vision, can solve the problems of inaccurate selection of candidate points, repeated calculations consume large memory space, etc., to achieve the effect of saving memory consumption, shortening time, and reducing memory requirements

Inactive Publication Date: 2014-01-29
DALIAN UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of inaccurate selection of candidate points in the prior art in the process of medical image segmentation, the present invention invents an efficient medical image segmentation method based on the game framework, the problem of repeated calculation in the calculation process and the need to store a Temporary payment matrix consumes a lot of memory space

Method used

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  • Efficient medical image segmentation method based on game framework
  • Efficient medical image segmentation method based on game framework
  • Efficient medical image segmentation method based on game framework

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Experimental program
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Embodiment

[0117] Example, press Figure 9 The specific steps of the image segmentation method flow chart based on the game framework are as follows:

[0118] exist figure 1 In, set S p , S q , S r are the candidate points s corresponding to the markers p, q, and r respectively p , s q , s r set, and then through the set S p The maximum and minimum abscissa and ordinate of all candidate points in the interior determine a containment set S p The region Q of all marked candidate points in , see figure 2 , and then equidistantly select new marker candidate points to form a set Q p ,See image 3 . Then, in the binarized image of the source image, see Figure 4 , the border points are black points, and the background points are white points. Take out these black points to form set B p . In the area Q, taking out belongs to Q p belongs to B again p points to form a new set of marked candidate points.

[0119] figure 2 An example of the candidate point set corresponding to ...

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Abstract

The invention relates to an efficient medical image segmentation method based on a game framework, and belongs to the field of computer vision. The method adopts a game framework model, the Sobel edge detection algorithm and the Otsu threshold adaptive algorithm for image operation, and includes sample set establishment, image pre-operation, candidate point set selection and detailed segmentation. By means of the method, duplicate-removal calculation of the candidate point marking process on a physical model and optimized selection of the candidate point set can be performed according to a medical image sample set, and the payoff matrix storage space is saved in the segmentation process based on the game framework; according to experiments, segmentation time is shortened, memory space requirements of the algorithms are lowered, and segmentation accuracy is improved.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a medical image segmentation method based on a game framework. Background technique [0002] Medical images are an important basis for disease diagnosis and directly affect the accuracy of diagnosis. The imaging and processing technology of medical images has experienced more than a century of development, and there have been significant improvements and improvements in resolution, clarity and diagnostic techniques, and a variety of new medical image imaging and imaging technologies have come out one after another. The application of computer technology has promoted the development of digital medical image technologies such as CT, MRI, and ultrasound. It provides an effective means for diagnosing and locating diseases and injuries of human bones and internal organs. [0003] Medical image segmentation is an important field of medical image processing and analysis, and it is also ...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 王智慧林世能杨海瑞张真诚
Owner DALIAN UNIV OF TECH
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