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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 
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
How to Cite this Article?
Monika Deswal, Neetu Sharma, "A Fast HSV Image Color and Texture Detection and Image Conversion Algorithm", International Journal of Science and Research (IJSR), Volume 3 Issue 6, June 2014, pp. 1279-1284, https://www.ijsr.net/get_abstract.php?paper_id=2014482
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