Mohammad Saber Iraji; Azam Tosinia

Skin Color Segmentation in YCBCR Color Space with Adaptive Fuzzy Neural Network (Anfis)

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Author(s)

Mohammad Saber Iraji ^1,* Azam Tosinia ²

1. Department of Computer Science, Islamic Azad University, Sari Branch, Sari, Iran

2. Department of Computer Engineering, Islamic Azad University, Sari Branch, Sari, Iran

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2012.04.05

Received: 27 Jan. 2012 / Revised: 8 Mar. 2012 / Accepted: 12 Apr. 2012 / Published: 8 May 2012

Index Terms

Skin color segmentation, image processing, fuzzy, anfis, color space

Abstract

In this paper, an efficient and accurate method for human color skin recognition in color images with different light intensity will proposed .first we transform inputted color image from RGB color space to YCBCR color space and then accurate and appropriate decision on that if it is in human color skin or not will be adopted according to YCBCR color space using fuzzy, adaptive fuzzy neural network(anfis) methods for each pixel of that image. In our proposed system adaptive fuzzy neural network(anfis) has less error and system worked more accurate and appropriative than prior methods.

Cite This Paper

Mohammad Saber Iraji,Azam Tosinia,"Skin Color Segmentation in YCBCR Color Space with Adaptive Fuzzy Neural Network (Anfis)",IJIGSP,vol.4,no.4,pp.35-41,2012. DOI: 10.5815/ijigsp.2012.04.05

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