Title :
Non-parametric histogram based skin modeling for skin detection
Author :
Shruthi, M.L.J. ; Harsha, B.K.
Author_Institution :
Dept. of Electron. & Commun, CMRIT, Bangalore, India
Abstract :
Digital Image Processing is a rapidly evolving field with increasing applications in science and engineering. Image Processing has the capability of developing the ultimate device that can perform visual functions of all living beings. An application of Image processing is skin detection. Skin detection is the process of finding skin colored pixels and regions in an image. Skin color arises due to melanin and hemoglobin, but there are many other objects in the world which are easily confused with skin, certain types of wood, copper, sand as well as clothes often have skin like colors. Therefore there is a need to properly formulate the skin detector, overcoming all the difficulties that arise in detecting skin in an image. This paper presents a technique for skin detection.
Keywords :
Bayes methods; image classification; image colour analysis; image resolution; object detection; Bayesian classifier; digital image processing; hemoglobin; melanin; nonparametric histogram based skin modeling; skin colored pixels; skin colored regions; skin detection; skin probability; visual functions; Color; Data models; Detectors; Histograms; Image color analysis; Skin; Training; Bayesian classifier; histogram; non-parametric; skin probability; skin-likelihood; thresholding;
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on
Conference_Location :
Enathi
Print_ISBN :
978-1-4799-1594-1
DOI :
10.1109/ICCIC.2013.6724287