An Image Representation Method and Its Application in Image Matching and Recognition

An image representation and image technology, applied in the field of image processing, can solve the problems of large differences in description effects and poor feature robustness, and achieve the effect of improving the accuracy of quantity and matching, improving the accuracy of matching, and enriching image features
CN103870846BActive Publication Date: 2017-11-07SHENZHEN INST OF ADVANCED TECH
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN INST OF ADVANCED TECH
Publication Date
2017-11-07

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Abstract

The present invention provides an image representation method based on phase singularity, which includes: performing two-dimensional complex filter processing on image information to generate a filter response image; detecting image phase singularity; accurately locating phase singularity; generating a localized phase singularity Descriptors serve as image features. The present invention also provides a method for image matching and recognition using the above image representation. The image representation method of the present invention effectively utilizes the information of phase singularity, develops a new image representation method, enriches image features, improves the number of image matching points and the accuracy of matching, and develops a method based on phase singularity packet representation Image classification methods.
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Description

technical field

[0001] The invention relates to image processing technology, in particular to an image representation method, and a method for image matching and recognition using the image representation. Background technique

[0002] The fast and accurate description of image information has always been an important and difficult point in the research of image matching and image recognition technology. Most of the image feature extraction methods in the prior art revolve around the color, texture, shape and spatial relationship of the image. Although these methods can describe the features of the image, they have the disadvantage of poor robustness of the obtained features. There is another existing technology based on an invariant feature description method in the transform domain. Due to the inherent properties of the transform domain, the description effect of this prior art is quite different before and after image clipping.

[0003] Another existing technology uses t...

Claims

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