Target recognition method based on image contour characteristic

Abstract

The invention discloses a target recognition method based on an image contour characteristic. The method comprises the steps of preprocessing a template image and a to-be-identified object image for generating a binary image; establishing a characteristic database of an object template contour; extracting a whole contour of an object template binary image, equidistantly acquiring a certain number of characteristic points on the contour, and describing the object contour by means of a context characteristic of the characteristic points; performing target recognition on the to-be-identified object image; extracting the contour edge of the to-be-identified binary image; selecting a certain number of characteristic points; converting the shape direction of the to-be-identified object to the direction of the template; describing the contour of the to-be-identified image after direction changing by means of the context characteristic of the selected points; and determining similarity between the to-be-identified object and the template object through matching cost. Compared with prior art, the target recognition method has advantages of settling a problem of rotational invariance in a contour matching process, realizing invariable rotation in the contour matching process, and realizing effective application in target recognition in the image.

Description

technical field [0001] The present invention relates to the technical field of machine vision and pattern recognition, and more specifically, to a target recognition method based on image contour 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 they...

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Problems solved by technology

[0005] However, none of the above methods can find a simple and effective description of the contour to solve the problem of rotation invariance in the contour matching process

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