Skin Segmentation by Using Complex Valued Neural Network with HSV Color Spaces

Year 2019, Volume: 3 Issue: 1, 1 - 4, 04.03.2019

Eda Capa Kiziltas , Ayşenur Uzun Ersen Yılmaz

Abstract

Nowadays, digital image processing is useful
tool in daily life for security, surveillance and artificial intelligence
applications. Mainly in nudity alerts and face detection, skin segmentation is
widely preferred method due to its simple background. The main problem in skin
segmentation is skin color variation that result of different percentage of
pigments, number and size of melanin particles in human-being. In literature,
there are rule-based and hybrid models for skin segmentation, however
rule-based algorithm are not enough to overcome skin variety. As hybrid mode
Complex valued neural network (CVNN) and color space transformation is applied to
Skin Segmentation Database from UCI Learning Repository that is collection of
different age and race group human’s skin samples in RGB format. 

Keywords

Skin Segmentation, Complex valued neural network (CVNN), Machine Learning

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