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Color image matching analytical method based on color content and distribution

A color image and color histogram technology, applied in the field of image analysis, can solve the problems of affecting the application effect, the effect of the analysis effect, and the low image matching accuracy, and achieve the effect of improving the actual effect, improving the accuracy, and improving the recognition effect.

Inactive Publication Date: 2005-03-16
NANKAI UNIV
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Problems solved by technology

However, because the extraction of pixel position information is relatively simple, it cannot reflect the spatial and logical relationship between pixels, which greatly affects the analysis effect of this technology.
[0008] In short, the existing color image matching analysis technology is not ideal, the image matching accuracy is not high, and the misjudgment rate in the image filtering is too high, which affects the actual application effect

Method used

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  • Color image matching analytical method based on color content and distribution
  • Color image matching analytical method based on color content and distribution
  • Color image matching analytical method based on color content and distribution

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Embodiment Construction

[0040] The outstanding substantive features and remarkable progress of the present invention can be embodied from the following examples. But they do not limit the invention in any way.

[0041] as the picture shows:

[0042] Matching of image color information

[0043] Compare the input image S with the image T in the reference image database, and determine their matching relationship.

[0044] 1) Extract the color histogram

[0045] Replace the original RGB colors of images S and T with 16 index colors, and build the color histogram H of images S and T S and H T (see picture 1).

[0046] 2) Color matching of histogram color peaks

[0047] Apply the membership function (1) of the fuzzy relation of colors to calculate the histogram H one by one S and H T The color matching coefficients among all color peaks in :

[0048] μ R ~ ( c → ...

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Abstract

The invention relates to the color image matching analyzing method based on the color contents and its distribution. The invention proceeds the matching analyzing to the input image and the referent image stored in the data base, which is a set of images with a certain special feature, based on the combination of the color histogram fuzzy correlation and the shape matrix analysis, to determine whether there is an image matching the input one in the referent image data base. It is composed of the following steps. Extract the color histogram of the input image and the referent image to determine whether the two images are matched according to the matching degree of the two histograms. Then extract the given area morphological feature of the input image to get its shape matrix, and determine the matching degree according to the comparative result between the shape matrix of the input image and the referent one. The invention is more effective than the existing relevant technique, with lower erroneous judgement rate and higher accuracy when applied to identify and analyze the imperfect image.

Description

technical field [0001] The invention belongs to image analysis technology, in particular to a color image matching analysis method based on color content and distribution. Background technique [0002] With the improvement of network speed and the increase of Internet users, while the Internet has become the link of global economic and cultural exchanges, it has also brought opportunities for some lawbreakers, and the problem of spreading harmful information such as pornographic images on the Internet has emerged. The identification and analysis of bad images (such as pornographic images) has become a hot issue in the development of the Internet. [0003] How to analyze, identify and filter bad images has become a research topic that is widely concerned today. The traditional keyword-based filtering technology is gradually being replaced by image content-based analysis technology due to its shortcomings such as low accuracy and multiple meanings. The analysis based on imag...

Claims

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Application Information

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IPC IPC(8): G06K9/48G06K9/62G06T7/11G06T7/155G06T7/90
Inventor 翟宏琛王熠张思远梁艳梅
Owner NANKAI UNIV
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