A Performance Perspective: Content Based Image Retrieval System
Senthil Kumar Sundararajan1, B ShankaraGomati2, D Saravana Priya3

1Senthil Kumar Sundararajan Research Scholar, Department of Computer Science, Bharathiar University, Coimbatore, (Tamil Nadu), India.
2Dr. B ShankaraGomati Department of Electronics and Instrumentation, National Engineering College, Kovilpatti, (Tamil Nadu), India.
3Dr. D Saravana Priya, Dept of Computer Science and Engineering, PA College of Engineering and Technology, Pollachi, (Tamil Nadu), India.

Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 1547-1555 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2186037619/19©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: The content-based image retrieval (CBIR) plays a significant aspect in digital image processing. The CBIR is novel and a high-speed process in information recovery. In order to sequentially access the huge set of database the oldest incisive search engines like google, yahoo, bingo was based on textual explanation of images.Hence, the performance of this system was not adequate. Therefore, a new process is required, which could be user friendly in order to access the image data. This paper used different set of various attributes like texture, shape and colorderived from the image extracted from query and the training images for comparing and retrieving the image. Thus, it repeatedly produces descriptions directly from the media data by using digital image processing methods. In this paper we analysis some of the procedural aspects of CBIR method and even specify its advantages and disadvantages.
Keywords: Image Retrieval, CBIR, Feature Extraction, Classification, Image Mining.

Scope of the Article: Image Security