COMPARING COLOR AND TEXTURE-BASED ALGORITHMS FOR HUMAN SKIN DETECTION

被引：0

作者：

Conci, A. ^{[1
]}

Nunes, E. ^{[1
]}

Pantrigo, J. J.

Sanchez, A.

机构：

[1] Univ Fed Fluminense, Inst Comp, Niteroi, RJ, Brazil

来源：

ICEIS 2008: PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL HCI: HUMAN-COMPUTER INTERACTION | 2008年

关键词：

Skin detection; segmentation; pixel classification; color spaces; texture;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Locating skin pixels in images or video sequences where people appear has many applications, specially those related to Human-Computer Interaction. Most work on skin detection is based on modelling the skin on different color spaces. This paper explores the use of texture as a descriptor for the extraction of skin pixels in images. For this aim, we analyzed and compared a proposed color-based skin detection algorithm (using RGB, HSV and YCbCr representation spaces) with a texture-based skin detection algorithm which uses a measure called Spectral Variation Coefficient (SVC) to evaluate region features. We showed the usefulness of each skin segmentation feature (color versus texture) under different experiments that compared the accuracy of both approaches (i.e. color and texture) under the same set of hand segmented images.

引用

页码：166 / +

页数：3