Does colorspace transformation make any difference on skin detection?

作者：Min Chul Shin, Kao-Hua Chang, Leonid V. Tsap · 年份：2003 · DOI：10.1109/acv.2002.1182194 · 被引用次数：161 · 研究领域：Face and Expression Recognition、Remote-Sensing Image Classification、Industrial Vision Systems and Defect Detection

Skin detection is an important process in many of computer vision algorithms. It usually is a process that starts at a pixel-level, and that involves a pre-process of colorspace transformation followed by a classification process. A colorspace transformation is assumed to increase separability between skin and non-skin classes, to increase similarity among different skin tones, and to bring a robust performance under varying illumination conditions, without any sound reasonings. In this work, we examine if the colorspace transformation does bring those benefits by measuring four separability measurements on a large dataset of 805 images with different skin tones and illumination. Surprising results indicate that most of the colorspace transformations do not bring the benefits which have been assumed.