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Skin detecting method

A skin detection and skin technology, applied in the field of skin detection integrating color, texture and spatial information, to achieve the effect of improving the positive detection rate, reducing the false detection rate and improving the accuracy

Inactive Publication Date: 2007-06-06
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] The invention provides a skin detection method, which introduces texture and space information in addition to color information, overcomes the shortcomings of the existing statistical methods based on color histograms, and improves the accuracy of skin detection

Method used

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Experimental program
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Embodiment Construction

[0022] As shown in Figure 1, a kind of skin detection method comprises the following steps:

[0023] 1. Using the color histogram statistical method (SPM) to detect skin regions

[0024] Collect 600 images including various races from the Internet, manually mark the skin and non-skin pixels, and then count the probability that the color rgb belongs to skin and non-skin in the RGB space as shown in the following formula:

[0025] P ( rgb | skin ) = s [ rgb ] T s

[0026] P ( rgb | ⫬ skin ) = n [ rgb ] T n

[0027...

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Abstract

The invention discloses a skin detection method, which is based on skin color pixels histogram statistical method and introduces texture and spatial information. The texture information is used to filter the regions with obvious texture and similar color to human skin; the watershed partition algorithm for marker control is used to improve the seizure rate.

Description

technical field [0001] The invention relates to the technical field of computer image processing, in particular to a skin detection method integrating color, texture and spatial information. Background technique [0002] With the development and popularization of the Internet, people can obtain all kinds of information on the Internet, how to prevent teenagers from being exposed to pornographic content is a serious social problem. From this, some network filtering technologies are produced, and the filtering of pornographic images is one of the important ones. [0003] There are usually two methods for filtering technology based on image content. The representative of the first method is the nude detection system of Forsyth et al., which first detects the skin area of ​​the human body, and then identifies the body parts of the human body on this basis, and then according to a certain The rules of the body are assembled to identify nude images. The representative of the sec...

Claims

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Application Information

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IPC IPC(8): G06K9/20G06K9/00
Inventor 姚敏江志伟吴朝晖
Owner ZHEJIANG UNIV
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