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Comprehensive multi-feature image retrieval method

An image retrieval and multi-feature technology, which is applied in the multi-feature image retrieval of texture features and shape features, and the field of color features, can solve the problem of not being able to describe the distribution of image colors well

Inactive Publication Date: 2009-10-07
ANHUI CAIJING PHOTOELECTRIC
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Problems solved by technology

It can be seen that neither the global nor the local color histogram can well describe the distribution of colors in the image.

Method used

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  • Comprehensive multi-feature image retrieval method
  • Comprehensive multi-feature image retrieval method

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Embodiment Construction

[0068] The present invention will be further described below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited thereto.

[0069] A comprehensive multi-feature image retrieval method, comprising extraction, indexing and feature matching of image features, said image features comprising color features, texture features and shape features, said image color feature extraction comprising:

[0070] (1) Normalize the image to 128×128 pixels;

[0071] (2) an image is divided into m * n small blocks, the size of each small block is s * t pixels; m=n=16, s=t=8;

[0072] (3) Calculate the C' value for each pixel of each small block image, select the main C' value, and form a corresponding two-dimensional matrix A from each main C' value, the size is m×n, expressed as A={a ij}i=1, 2,...m; j=1, 2,...n; the selection principle of the main C' value is: take the C' value with the largest number of pixels as the main C' value of t...

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Abstract

The invention relates to a comprehensive multi-feature image retrieval method, including extraction, index and feature matching of image features, the image features include color feature, texture feature and shape feature. The color feature of the images includes: (1) normalizing the feature as 128 multiply 128 pixel; (2) dividing an image into m multiply n nubs; (3) calculating the C' value of each pixel in every nub, selectiing the main C' value, forming a corresponding two-dimensional matrix A by each main C' value. The invention improves traditional local color histogram by improving extraction method of traditional image color features, which greatly improves precision ratio comparing with common image retrieval method based on color. Application of the image retrieval method that combines multi image features of color, texture and shape can improve precision ratio of the method effectively.

Description

(1) Technical field [0001] The invention relates to a comprehensive multi-feature image retrieval method, in particular to a multi-feature image retrieval method that integrates color features, texture features and shape features of an image. (2) Background technology [0002] With the development of information technology, human beings have accumulated a large amount of information in various forms, including simple text information, and multimedia information such as graphics, images, sounds, and videos. In this case, the user needs a good search tool to quickly find the information he needs. The current text information query technology is quite mature, and various practical Internet search engines such as GOOGLE, BAIDU, etc. are all based on text query technology. However, users hope to further search and utilize various multimedia information simply and comprehensively. As the most widely used type of multimedia information, graphic and image information, how to effec...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 朱信忠赵建民徐慧英袁杰
Owner ANHUI CAIJING PHOTOELECTRIC
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