Image recognition method based on color and texture features

A technology of texture features and color features, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of accurate and concise retrieval of images, cannot accurately reflect image information, and cannot be fully detailed accurately describe image information and other issues

Active Publication Date: 2014-04-09
CHENGDU SUNSHEEN TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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 c

Method used

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  • Image recognition method based on color and texture features
  • Image recognition method based on color and texture features
  • Image recognition method based on color and texture features

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] Find the detected image most similar to matching image B:

[0068] S1. First, compress one of the detection image A and the matching image B, and compress them into an image of 90*90 pixels. When compressing, a method of taking one pixel at intervals of five pixels is adopted.

[0069] S2. Divide the compressed detection image A and matching image B into 9 sub-blocks, each of which has 10*10 pixels.

[0070] Next, compare the color features and texture features of the 9 sub-blocks of the detection image A and the matching image B, and obtain the similarity distance between the detection image A and the matching image B in the color features and texture features. Wherein, steps S3-S4 are comparisons of color features; steps S5-S6 are comparisons of texture features.

[0071] S3. Calculate the color feature similarity distance D1(A, B) between the detected image A and the matching image B in the first sub-block, specifically including steps S31-S37:

[0072] S31. The fi...

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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...

Claims

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Application Information

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IPC IPC(8): G06K9/62
Inventor 舒红平刘魁罗飞
Owner CHENGDU SUNSHEEN TECH
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