Image recognition method based on color and texture features

Abstract

The invention provides an image recognition method based on color and texture features. The method includes the steps of evenly and respectively dividing a detection image A and a matched image B into n sub-blocks, calculating the color feature similarity distance Dk(A,B) and the texture feature similarity distance Tk(A,B) between the sub-block k of the of the detection image A and the sub-block k of the matched image B, calculating the color feature similarity distance C(A,B) and the texture feature similarity distance T(A,B) between the detection image A and the matched image B, and judging the similarity S(A,B) of the detection image A and the matched image B according to the color feature similarity distance C(A,B) and the texture feature similarity distance T(A,B) between the detection image A and the matched image B, wherein k is larger than zero and smaller than or equal to n. Compared with the prior art, the feature similarity of the images is calculated on the basis of matching of the color features and the texture features, accuracy and objectivity are improved, and the subjective judgment of the key word index is avoided.

Description

technical field [0001] The invention relates to content-based pattern recognition, such as the field of image recognition, in particular to an image recognition method based on color and texture features. Background technique [0002] Currently, there are various image recognition methods, such as searching by keywords, comparing graphic feature parameters, and so on. Among them, searching by keywords and identifying by human eyes are subjective and cannot accurately reflect image information. The method of comparing graphic feature parameters also has problems such as excessive calculation, too many parameters, and cumbersome implementation. However, a certain characteristic of a single contrasting figure cannot fully and concretely describe the image information. [0003] To sum up, none of the current image recognition methods can solve the problem of accurate and concise image retrieval. Contents of the invention [0004] In view of the problems existing in the prio...

AI Technical Summary

Problems solved by technology

Among them, the use of keywords to search and the recognition of human eyes are subjective and cannot accurately reflect the image information.

The method of comparing graphic feature parameters has problems such as excessive calculation, too many parameters, and cumbersome implementation.

And a certain feature of a single comparison graphic cannot fully describe the image information specifically.

[0003] To sum up, none of the current image recognition methods can solve the problem of accurate and concise retrieval of images.

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