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A Simplified Review on Fast HSV Image Color and Texture Detection and Image Conversion Algorithm

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 5)

Publication Date:

Authors : ; ;

Page : 1216-1222

Keywords : Red Green Blue (RGB); Cyan Magenta Yellow (CMY); Hue Saturation Value (HSV); Commission international del’ Eclairage (CIE); Content Based Image Retrieval (CBIR);

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In order to identify the perceived qualities of texture and color in a building mathematical models for object a optimized and efficient algorithm ‘A Fast HSV Image Color and Texture Detection Algorithm’ based on color intensity using Artificial Intelligence and fuzzy Logic is presented in this paper. We will be using color intensity method over conventional method. The ‘Fast HSV Image Color and Texture Detection Algorithm’ focuses to integrate the detection of image color with detection of texture using AI and Fuzzy logic. Color detection has been among the widest research area in the field of computer science. In computer vision, there are several pre-existing color models for describing the specification of the colors such as RGB, CMY and HSV. This paper presents detection of color using HSV-based (hue, saturation, value) color model since it greatly decreases the size of color and grey-scale information of an image .This paper can be treated as a reference for getting in depth knowledge of the Color detection and texture detection.

Last modified: 2014-06-01 17:23:52