Target identification method based on contour features

A technology of target recognition and contour features, applied in character and pattern recognition, instruments, computer parts, etc.

Active Publication Date: 2013-01-16
CAS OF CHENGDU INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, none of the above methods can find a simple and effective description of the contour to solve the scale problem in the contour matching process

Method used

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  • Target identification method based on contour features
  • Target identification method based on contour features
  • Target identification method based on contour features

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Embodiment Construction

[0030] The specific implementation manner of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0031] like figure 1 As shown, the object recognition method based on contour features of the present invention is used to identify objects in the image to be detected, and if there are multiple objects in the image to be detected, the objects in the image to be detected are recognized one by one. The method comprises the following steps S1-S2: S1, establishing a feature library of object template contours; S2, performing target recognition on the image to be detected.

[0032] Wherein step S1 includes the following steps S11-S14:

[0033] S11, extracting the complete outline of the object template, mainly under the static background, using the background difference method to extract the complete outline of the object template, the result of the outline is expressed as S={P i ;i=1...N}, where S represents the outline of the obj...

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Abstract

The invention discloses a target identification method based on contour features. The method comprises steps of establishing a feature bank of object template contours; extracting a complete contour of an object template; extracting feature points and central points from the contour; establishing a distance matrix to describe the contour by using feature points and central points; conducting calculation of the distance matrix by aiming to all pixels on the contour; conducting target identification for an image to be detected; extracting an edge of the image to be detected; extracting feature points on the edge; calculating feature description composed of feature points; matching the feature description of the image to be detected with features in the feature bank of object template contours; estimating central points of the contour of the image to be detected; and estimating the contour of the image to be detected. Compared with the prior art, the method has the advantages that the size problem in the contour matching is solved, and the size in the contour matching is not changed. The method can be applied to target identification of images effectively.

Description

technical field [0001] The invention belongs to the technical field of machine vision and pattern recognition, in particular to a target recognition method based on contour features in image shape features. Background technique [0002] The current target recognition methods can be divided into three categories: methods based on appearance features, methods based on shape features, and methods based on the combination of appearance and shape features. Object recognition based on shape features is a hotspot in current research, and significant progress has been made in recent years. From the traditional methods based on Fourier transform or invariant moments, it has developed into the current shape matching methods that are mostly based on the two shape descriptors of contour and skeleton. Compared with point sets, contours have richer information, and contours are not easily affected by changes in illumination, object color, and texture. The most important thing is that the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/64G06K9/46
Inventor 赵雪专陈斌张绍兵裴利沈廖世鹏成苗何莲张元
Owner CAS OF CHENGDU INFORMATION TECH CO LTD
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