Image texture extraction and identification method by non-Gauss two-dimension Gabor filter

A technology of image texture and recognition method, applied in the field of pattern recognition
CN104881635AActive Publication Date: 2015-09-02KUNMING UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
KUNMING UNIV OF SCI & TECH
Publication Date
2015-09-02

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Abstract

The invention relates to an image texture extraction and identification method by a non-Gauss two-dimension Gabor filter, and belongs to the mode identification technology field. The method includes the steps of constructing a non-Gauss two-dimension Gabor filter at first, employing the non-Gauss two-dimension Gabor filter to perform filter processing on an image, calculating the amplitude matrix of the filtered image, dividing the amplitude matrix into blocks, calculating the histogram characteristic vector of each block to obtain the histogram characteristic vector of the original image, and finally sending the characteristic vectors into a nearest-neighbor classifier based on chi-squared statistics and classifying and identifying the vectors. The method is a texture description method based on a non-Gauss two-dimension Gabor filter, is a spread way for conventional two-dimension Gabor filters, and can extract and identify non-Gauss texture characteristics of images.
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Description

technical field

[0001] The invention relates to a non-Gaussian two-dimensional Gabor filter image texture extraction and recognition method, which belongs to the technical field of pattern recognition. Background technique

[0002] Two-dimensional Gabor filter is an effective method for image texture feature extraction. The research on two-dimensional Gabor filter mainly focuses on parameter selection of two-dimensional Gabor filter, fast calculation of two-dimensional Gabor filter and various applications of two-dimensional Gabor filter.

[0003] The traditional two-dimensional Gabor filter can be regarded as a Gaussian kernel function modulated by a complex sine function in the frequency domain, so the traditional two-dimensional Gabor filter is still Gaussian in the frequency domain, and the traditional two-dimensional Gabor filter is used to After the image is filtered, only the Gaussian frequency information of the image texture can be extracted, and the image texture ...

Claims

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