Skin detection using fuzzy rule base system

Abstract

Skin detection is the process of finding skin pixels in a given color image. In this paper, we propose a novel fuzzy rule based system for robust and fast skin detection in color images. The proposed fuzzy system models the skin color distribution in HSV color space. Using the fuzzy model, skin likelihood of the pixel is calculated and if it exceeds a threshold then this pixels is considered as skin pixel. Also we proposed a multi layer perceptron neural network for skin classifier and compare its performance with the proposed fuzzy rule based method.Experimental results show effectiveness of the proposed fuzzy rule based method in comparison with the neural network based and other previous approaches.

The Landscape of Research on Skin Detectors: Coherent Taxonomy, Open Challenges, Motivations, Recommendations and Statistical Analysis, Future Directions

“…In [72] studied of the best fitting color space in skin detection as a case study for face detection by applying fuzzy logic concept in human skin modeling that can consider the light conditions and illumination. While in [73] used fuzzy rule model based system and skin likelihood, that can calculate pixel value. If it is exceeded threshold then it is considered as skin pixel.…”

“…Adequate information about an image's real color of skin pixels can be obtained using the distribution of pixels of an image. Some authors [37], [42], [52], [73], [81], [111], [134], and [164] have noted that one of the challenges is that of varying conditions of illumination that can be adapted to the detection of human skin. Researcher also found that even after implementation of certain methods, the illumination still posed challenges in skin detection methods [12], [45], [87], [144], [165].…”

“…Shape based image retrieval is the measuring of similarity between shapes represented by their features [73]. Shape is an important visual feature and it is one of the primitive features for image content description [10].…”