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Web Image based Filtering and Human Composition Matrix based on Skin Detection


Shubhangi Ashok Adate , Bharati Vidyapeeth College of Engineering, Navi Mumbai; Prof. Shankar Patil, Bharati Vidyapeeth College of Engineering, Navi Mumbai


RGB, Human Skin Filter, Image Retrieval, Color Model


In this paper, we describe various skin detection methods (HCM), image filtering methods and comprehensive comparative study among these methods proposed to detect adult classified images. It is based on concept of pattern recognition techniques. First the images are changed to identify areas with low color intensity by the color model. In the next part of the proposed system specify that the image is filtered using skin detection. The main aim has to segment a person or people within the image. By counting all pixels(red and green channel) with identical skin tone, then we can treat the image with porn content The development of Internet make changes in dramatically falling costs of data storage and improvement in coding technology are generating wide variety of wall papers, images, animation, graphics, sound and video . Now a day’s it is obvious that the computers with internet connection. There are facilities in large amount of adult images for free to access. This kind of media is available for children and making problem for many parents. The searching principal of Internet browser programs to avoid adult classified content should be filtering of images. There are ways available to stop adult classified content images on computers. This process is carried out by blocking unwanted sites or identifying images that show explicit content.

Other Details

Paper ID: IJSRDV5I41342
Published in: Volume : 5, Issue : 4
Publication Date: 01/07/2017
Page(s): 1680-1683

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