Method for extracting target closed contour based on shape prior

A closed contour and target technology, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of no occlusion, illumination robustness, elastic deformation invariance, background noise and internal texture interference, etc.
CN101673345AInactive Publication Date: 2010-03-17BEIJING JIAOTONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
BEIJING JIAOTONG UNIV
Publication Date
2010-03-17
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a method for extracting target closed contour based on shape prior, belonging to the field of computer application technology. From the point of view of simitating the information of human vision, the extraction method inhibiting salient edges of noise and texture is adopted, the shape prior is blended on the basis, and a new target closed contour extraction algorithm can be provided by utilizing curve evolution technology based on differential geometry, so that the important technology is provided for automatic target detection. The experiments on a plurality of imagelibraries prove that when the image background is very disordered and has partial shading, and part of the target boundary is indistinct caused by weaker light, the method can obtain the whole targetclosed contour. Simultaneously, when only a few of templates of a certain category of objects are provided, the method can extract the contour of the category of objects with different postures, namely, the method has invariance property for elastic deformation to a certain extent, so as to be directly applied to intelligent image processing. The method can accurately extract the target closed contour and has wide applicability.
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Description

technical field

[0001] The invention belongs to the field of computer application technology, in particular to a method for extracting a closed contour of a target based on shape prior. Background technique

[0002] When people are faced with a strange and complex image, people can quickly and accurately mark the outline of the target. However, when it comes to entrusting a computer with something that is fairly simple for humans, it is not so easy. Without information such as prior knowledge, the computer cannot judge where is the edge, where is the target contour, which is the salient area we want, and which content is redundant noise. Therefore, object contour extraction in complex and irregular images has become a common problem in computer vision.

[0003] Extracting the closed contour of the target is one of the ways of target detection and tracking, although some unsupervised methods have achieved local success in images with better imaging conditions (for example: ...

Claims

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