A. Abadpour, S. Kasaei,
Volume 1, Issue 3 (7-2005)
Abstract
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.
S. Tannaz, T. Sedghi,
Volume 14, Issue 2 (6-2018)
Abstract
In this article, a fabulous method for database retrieval is proposed. The multi-resolution modified wavelet transform for each of image is computed and the standard deviation and average are utilized as the textural features. Then, the proposed modified bit-based color histogram and edge detectors were utilized to define the high level features. A feedback-based dynamic weighting of shape, color and textural features composition produce a resistant feature vectors for image retrieval and recall. A comprehensive and unified matching scheme based on matrix error rate technique was accomplished for similarity of image and retrieval procedure. The feature vectors size in our algorithm is the least one evaluated to the different techniques. Furthermore, the calculation time of previously published techniques is much more than the presented algorithm which is a benefit in proposed retrieval method. The experimental results illustrates that novel algorithm obtains more precious in retrieval and the efficiency in evaluating with the other techniques and algorithms at Corel color image database.
