Method for main color feature extraction and structuring description of images

A structured description and feature extraction technology, applied in image analysis, image data processing, special data processing applications, etc., can solve the problem of no image feature extraction and description solutions, etc., to achieve stable and reliable work performance, simple and convenient processing , the effect of enhancing the ability of analysis and understanding

Inactive Publication Date: 2010-05-26
THE THIRD RES INST OF MIN OF PUBLIC SECURITY
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AI Technical Summary

Problems solved by technology

[0004] As an important image visual feature, the color feature of an image has important application value in image retrieval and video image analysis, but in the existing technology, there is no solution related to image feature extraction and description

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  • Method for main color feature extraction and structuring description of images
  • Method for main color feature extraction and structuring description of images
  • Method for main color feature extraction and structuring description of images

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Embodiment Construction

[0040] In order to understand the technical content of the present invention more clearly, the following examples are given in detail.

[0041] see figure 1 As shown, the method for feature extraction and structural description of the main color of the image, its main feature is that the method includes the following steps:

[0042] (1) The computer system inputs the image to be processed;

[0043] (2) The computer system selects a color space; the color space can be RGB space, YCbCr space, HSV space, HMMD space or monochromatic space;

[0044] (3) The computer system performs quantitative processing on the color of the image in the described color space, including the following steps:

[0045] (a) Divide the color space into several small color intervals, and each small color interval is called a dimension;

[0046] (b) merge and classify the color of each pixel of the image according to the divided dimensions;

[0047] (4) The computer system calculates the normalized co...

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Abstract

The invention relates to a method for main color feature extraction and structuring description of images, which comprises the following steps of: inputting an image to be processed; selecting a color space; quantizing the color of the image in the color space; calculating a normalized color histogram to obtain the percentage of the pixel number of each color in the entire image pixel number; acquiring the main color of the image according to the percentage; calculating the variance and the space correlation of the main color; and encoding the main color features of the image to obtain the description of the main color features of the image. By adopting the method for the main color feature extraction and the structuring description of the images, the similarity of two images can be distinguished by comparing the similarity degree between the main color features of the two images, the same or similar images can be searched quickly, the processing procedure is simple and convenient, and the working performance is stable and reliable, so the method is important to improve the image retrieval efficiency and quality, and enhance the capacities of analyzing and understanding the images, has a wide application range, and is widely applied to the fields of image retrieval, machine vision and intelligent video monitoring.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to the technical field of image color feature processing, and specifically refers to a method for extracting and structurally describing main color features of an image. Background technique [0002] With the increasing processing power of computers, the widespread popularization of Internet (Internet) technology and the continuous improvement of network bandwidth, a large amount of image information is continuously generated. How to search for images that people are interested in from these massive image data and make effective use of these images has become an urgent problem to be solved. Content-based Image Retrieval (CBIR) is one of the important technologies to solve this problem. Content-based image retrieval refers to using image content features (including color features, shape features, texture features) to query images. [0003] In the prior art, Chinese patent do...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/40G06F17/30
Inventor 胡传平吴炬梅林张鸿洲梁辰沙淼淼朱丽英赵锐
Owner THE THIRD RES INST OF MIN OF PUBLIC SECURITY
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