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A Skin Color Pixel Recognition Method Based on Fuzzy and Gaussian Mixture Model

A Gaussian mixture model and recognition method technology, applied in the field of information processing, can solve problems such as slow progress

Active Publication Date: 2012-02-22
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the skin color pixel recognition algorithm based on adaptation has achieved certain results, but the progress is slow

Method used

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Embodiment Construction

[0048] The existing skin color pixel recognition algorithm has the biggest commonality in the process of pixel feature extraction in that it adopts the traditional "hard calculation" method. When shooting, the influence of lighting conditions causes the color of the skin color pixel in the image to change within a certain range. The existing skin color pixel recognition algorithm cannot adapt to such skin color changes well, and the human eye can often adapt to such changes when distinguishing whether a pixel in an image is a skin color pixel. When the human eye faces the color changes within a certain range caused by changes in lighting conditions, the visual system blurs the perceived colors to the colors that are often seen, so that when the lighting conditions change, there is no awareness When the color changes within a certain range, it is reasonable to simulate the human visual system's perception process of the image through the blurring process. However, if the common...

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Abstract

The invention discloses a skin color pixel recognition method based on a fuzzy and Gaussian mixture model. The method adopts the fuzzy theory to obtain the fuzzy membership degree feature of the pixel to be recognized in the image relative to the skin color sample pixel to form a complete and accurate pixel color feature vector. Construct the GMM for skin color pixel recognition. The parameter estimation process of the model is completed by the EM algorithm. The EM algorithm is improved by the fuzzy clustering results of the skin color sample pixels, thereby improving the accuracy and efficiency of parameter estimation. The pixels constructed by the fuzzy theory will be used The color feature vector is input into the GMM which uses the improved EM algorithm for parameter estimation to complete the recognition process of skin color pixels and improve the accuracy of skin color pixel recognition.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a skin color pixel recognition method based on a fuzzy and Gaussian mixture model. Background technique [0002] Skin color pixel recognition in images is commonly used in image recognition technologies related to the human body, such as adult image recognition, face recognition, and gesture recognition. Due to the diversity of image types and content, including various races under different lighting, background and makeup conditions, it is difficult to realize skin color pixel recognition technology. [0003] Skin color pixels are a kind of underlying feature, and its recognition results are extremely important for subsequent processing. In different application environments, subsequent processing has different requirements for the accuracy and speed of skin color pixel recognition. Therefore, in order to obtain a more general The skin color pixel recognition met...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/00
Inventor 胡昌振王潇茵姚淑萍
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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