Study of Content Based Image Retrieval Techniques
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 107 | Views: 285

Review Papers | Computer Science & Engineering | India | Volume 6 Issue 1, January 2017 | Popularity: 6.3 / 10


     

Study of Content Based Image Retrieval Techniques

Rakhee M, Indu M T, Baiju Karun


Abstract: Content-based image retrieval (CBIR) aims at retrieving images from a large database based on similarities in their features to a query image given by the user. It avoids the use of textual descriptions and instead retrieves images based on features like texture, colors, shapes etc. This involves the application of computer vision techniques to image retrieval problem. In this paper we present different techniques for content based image retrieval.


Keywords: Image Retrieval, Walshlet pyramid, relevance feedback, image tiling


Edition: Volume 6 Issue 1, January 2017


Pages: 1246 - 1248


DOI: https://www.doi.org/10.21275/ART20164191


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Rakhee M, Indu M T, Baiju Karun, "Study of Content Based Image Retrieval Techniques", International Journal of Science and Research (IJSR), Volume 6 Issue 1, January 2017, pp. 1246-1248, https://www.ijsr.net/getabstract.php?paperid=ART20164191, DOI: https://www.doi.org/10.21275/ART20164191

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