Self Organizing Neural Network Application for Skin Color Segmentation

In this paper, we present a Fuzzy ART (Adaptive Resonance Theory) neural network application for skin color segmentation using the chromaticity components of the TSL color space. The Fuzzy ART networks deal with the stability-plasticity dilemma and they can be applied to color image segmentation, particularly to skin color segmentation. The developed application has three modes: parameter setting, skin color filter creation, and skin color filter performance. Many parameters can be tuned to create proper skin color filters from manually selected skin regions in an image. A skin color filter is a LUT (Look-Up Table) that gives each color in the RGB color space, one of two different outputs, skin or non-skin color. The performance of different skin color filters can be compared with the application. A skin color filter can be used to make robust real-time skin color segmentation in video sequences captured by a webcam.

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