A DYNAMIC SKIN DETECTION METHOD USING THE FUSION OF 2-D HISTOGRAM-BASED FEATURES

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MORADI BAHARE; EZOJI MEHDI

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Journal Paper

Paper Information

Journal: SIGNAL AND DATA PROCESSING Year:2016 | Volume:13 | Issue:3 (SERIAL 29) Page(s): 63-78

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Information Journal Paper

Title

A DYNAMIC SKIN DETECTION METHOD USING THE FUSION OF 2-D HISTOGRAM-BASED FEATURES

Author(s)

MORADI BAHARE | EZOJI MEHDI | Issue Writer Certificate

Keywords

SKIN DETECTIONQ2

DYNAMIC MODELQ2

2-D HISTOGRAMQ2

BAYESIAN RULEQ2

FUSIONQ2

Abstract

This paper presents a dynamic approach to SKIN DETECTION-to separate the skin pixels from non-skin pixels-in colored images. The static methods which use a fixed skin color model, will fail if there are illumination variations or different skin colors in an image. Because of contextual information the proposed algorithm will be less sensitive to the uncontrolled illumination conditions. In addition, the selection of discriminant features and the FUSION of them and Bayesian classification increase the accuracy of the proposed method in comparison to the reference methods.

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APA: Copy

MORADI, BAHARE, & EZOJI, MEHDI. (2016). A DYNAMIC SKIN DETECTION METHOD USING THE FUSION OF 2-D HISTOGRAM-BASED FEATURES. SIGNAL AND DATA PROCESSING, 13(3 (SERIAL 29) ), 63-78. SID. https://sid.ir/paper/160901/en

Vancouver: Copy

MORADI BAHARE, EZOJI MEHDI. A DYNAMIC SKIN DETECTION METHOD USING THE FUSION OF 2-D HISTOGRAM-BASED FEATURES. SIGNAL AND DATA PROCESSING[Internet]. 2016;13(3 (SERIAL 29) ):63-78. Available from: https://sid.ir/paper/160901/en

IEEE: Copy

BAHARE MORADI, and MEHDI EZOJI, “A DYNAMIC SKIN DETECTION METHOD USING THE FUSION OF 2-D HISTOGRAM-BASED FEATURES,” SIGNAL AND DATA PROCESSING, vol. 13, no. 3 (SERIAL 29) , pp. 63–78, 2016, [Online]. Available: https://sid.ir/paper/160901/en

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