Content Based Image Retrieval (CBIR) Using Color, Shape and Texture Features of Image
Suresh M. B1, B Mohankumar Naik2
1Suresh M B, Department of Computer Science & Engineering, Shri Jagdishprasad Jhabarmal Tibrewala University, Junjhunu (Rajasthan), India.
2Dr. B Mohankumar Naik, Department Computer Science & Engineering, Shri Jagdishprasad Jhabarmal Tibrewala University, Junjhunu (Rajasthan), India.
Manuscript received on 13 June 2017 | Revised Manuscript received on 20 June 2017 | Manuscript Published on 30 June 2017 | PP: 271-274 | Volume-6 Issue-5, June 2017 | Retrieval Number: E5082066517/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Content-based image retrieval (CBIR), as we see it today, is any technology that in principle helps organize digital picture archives by their visual content. The increased need of content based image retrieval technique can be found in a number of different domains The such as Agriculture, Data Mining, Research laboratories, Medical Field, Crime Prevention, Weather department , and Management of Earth Resources. Image retrieval based on different components has strong research scope. In this paper we present some technical details about the components used for the retrieval of images and algorithm are also defined for retrieval of images by using the components i.e. color, texture and shape information, and achieve higher retrieval efficiency using dominant color feature.
Keywords: CBIR, Retrieval, Color, Texture, Shape
Scope of the Article: Image Security