Color based skin classification

Modified CLPSO-based fuzzy classification System: Color Image Segmentation

Fuzzy segmentation is an effective way of segmenting out objects in images containing both random noise and varying illumination. In this paper, a modified method based on the Comprehensive Learning Particle Swarm Optimization (CLPSO) is proposed for pixel classification in HSI color space by selecting a fuzzy classification system with minimum number of fuzzy rules and minimum number of incorr...

Forgery Image Detection Based on Illumination Color Classification with Advanced Skin Color and Edges

In recent days, photographs have been used as evidence in courts. Photographers are able to create composites of analog pictures, this process is very time consuming and requires expert knowledge. Today, Powerful digital image editing software makes image modifications straightforward. This undermines our trust in photographs. In this paper, one of the most common forms of photographic manipula...

Classification-Based Color Constancy

Region-based Skin Color Detection

Skin color provides a powerful cue for complex computer vision applications. Although skin color detection has been an active research area for decades, the mainstream technology is based on the individual pixels. This paper presents a new region-based technique for skin color detection which outperforms the current state-of-the-art pixel-based skin color detection method on the popular Compaq ...

Skin-color based videos categorization

On dedicated websites, people can upload videos and share it with the rest of the world. Currently these videos are categorized manually by the help of the user community. In this paper, we propose a combination of color spaces with the Bayesian network approach for robust detection of skin color followed by an automated video categorization. Experimental results show that our method can achiev...