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A Comprehensive Study of Content based Image Retrieval

Piyush Kothyar*, Shriprakash Dwivedi**, H.L. Mandoria***

* PG Scholar, Department of Information Technology, G. B. Pant University of Agriculture and Technology, Pantnagar, India.

** Assistant Professor, Department of Information Technology, G. B. Pant University of Agriculture and Technology, Pantnagar, India.

*** Professor, Department of Information Technology, G. B. Pant University of Agriculture and Technology, Pantnagar, India.

Periodicity:July - September'2016

Abstract

Content Based Image Retrieval, is an application of computer vision techniques for retrieval of an image from the database by using its content. In the earlier days, when it comes to image retrieval, it was only concept based which means using of metadata such as keywords, tags, or descriptions associated with the image, giving a concept, or a descriptive meaning to the image, but cannot guarantee that, for every image there exist associated text annotations or complete text annotations so in this context, the term “content” refer to Colors, Shapes, Textures, or any other image feature information that can be derived from the image itself. In this paper, the authors have reviewed various methods for performing CBIR on the basis of shape, Color, Texture. This paper briefly elaborates the feature on the basis of these contents.

Keywords

Content Based Image Retrieval, Color, Shape, Texture.

How to Cite this Article?

Kothyari, P., Dwivedi, S., and Mandoria, H. L. (2016). A Comprehensive Study of Content Based Image Retrieval. i-manager's Journal on Image Processing, 3(3), 42-49.

References

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