Scientific Journal of Informatics
Vol 4, No 2 (2017): November 2017

Color Space to Detect Skin Image: The Procedure and Implication

Endah, Sukmawati Nur (Unknown)
Kusumaningrum, Retno (Unknown)
Wibawa, Helmie Arif (Unknown)



Article Info

Publish Date
10 Nov 2017

Abstract

Skin detection is one of the processes to detect the presence of pornographic elements in an image. The most suitable feature for skin detection is the color feature. To be able to represent the skin color properly, it is needed to be processed in the appropriate color space. This study examines some color spaces to determine the most appropriate color space in detecting skin color. The color spaces in this case are RGB, HSV, HSL, YIQ, YUV, YCbCr, YPbPr, YDbDr, CIE XYZ, CIE L*a*b*, CIE L*u* v*, and CIE L*ch. Based on the test results using 400 image data consisting of 200 skin images and 200 non-skin images, it is obtained that the most appropriate color space to detect the color is CIE L*u*v*.

Copyrights © 2017






Journal Info

Abbrev

SJI

Publisher

Subject

Computer Science & IT

Description

Scientific Journal of Informatics published by the Department of Computer Science, Semarang State University, a scientific journal of Information Systems and Information Technology which includes scholarly writings on pure research and applied research in the field of information systems and ...