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Research Paper | Computer Science & Engineering | India | Volume 3 Issue 6, June 2014
A Fast HSV Image Color and Texture Detection and Image Conversion Algorithm
Monika Deswal | Neetu Sharma [6]
Abstract: In order to identify the perceived qualities of texture and color in an 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 is presented in this paper. we used color intensity method over conventional method. The Fast HSV Image Color and Texture Detec-tion Algorithm focuses to integrate the detection of image color with detection of texture using AI and 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 de-creases 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.
Keywords: Red Green Blue RGB, Cyan Magenta Yel-low CMY, Hue Saturation Value HSV, Comission internationable del Eclairage CIE, Content Based Image Retrieval CBIR
Edition: Volume 3 Issue 6, June 2014,
Pages: 1279 - 1284
Similar Articles with Keyword 'Content Based Image Retrieval CBIR'
Downloads: 107
Review Papers, Computer Science & Engineering, India, Volume 3 Issue 12, December 2014
Pages: 2407 - 2409A Review on Content-Based Image Retrieval from Videos using Self Learning Object Dictionary
Vrushali A. Wankhede | Prakash S. Mohod
Downloads: 132
Review Papers, Computer Science & Engineering, India, Volume 5 Issue 1, January 2016
Pages: 435 - 437Shared Image Privacy Preserving Using Adaptive Prediction
Mohini Shinde | Tanuja Dhope [5]