Color Based Image Retrieval by Combining Various Features
Bably Dolly1, Deepa Raj2
1Bably Dolly, Ph.D., Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Lucknow.
2Deepa Raj, Assistant professor , Department of Computer Science Babasaheb Bhim Rao Ambedkar University.
Manuscript received on November 25, 2019. | Revised Manuscript received on December 08, 2019. | Manuscript published on December 30, 2019. | PP: 454-460 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B3163129219/2019©BEIESP | DOI: 10.35940/ijeat.B3163.129219
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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 system retrieve the images according to the strong feature related to desire as color, texture and shape of an image. Although visual features cannot be completely determined by semantic features, but still semantic features can be integrate easily into mathematical formulas. This paper is focused on retrieval of images within a large image collection, based on color projection by applying segmentation and quantification on different color models and compared for good result. This method is applied on different categories of image set and evaluated its retrieval rate in different models.
Keywords: Segmentation, image retrieval, color feature