Abstract: (15367 Views)
A robust skin detector is the primary need of many fields of computer vision,
including face detection, gesture recognition, and pornography filtering. Less than 10 years
ago, the first paper on automatic pornography filtering was published. Since then, different
researchers claim different color spaces to be the best choice for skin detection in
pornography filtering. Unfortunately, no comprehensive work is performed on evaluating
different color spaces and their performance for detecting naked persons. As such,
researchers usualy refer to the results of skin detection based on the work doen for face
detection, which underlies different imaging conditions. In this paper, we examine 21 color
spaces in all their possible representations for pixel-based skin detection in pornographic
images. Consequently, this paper holds a large investigation in the field of skin detection,
and a specific run on the pornographic images.
Type of Study:
Research Paper |
Received: 2008/10/13 | Revised: 2010/10/12 | Accepted: 2010/10/12