A Study on Effective CBIR using ODBTC Method

Authors

  • R. P. Ramkumar  Professor, Department of Computer Science and Engineering, Malla Reddy Engineering College (Autonomous), Secunderabad, Telangana, India
  • Empaty Akhila  Department of Computer Science and Engineering, Malla Reddy Engineering College (Autonomous), Secunderabad, Telangana, India

Keywords:

BPF, CCF, CBIR, ODBTC, Similarity Measure.

Abstract

The objective of the paper is to present an efficient Content-Based Retrieval (CBIR) using Ordered-Dither Block Truncation Coding Technique (ODBTC). During the encoding stage, ODBTC approach compresses the image block(s) into quantizes and bitmap image, respectively. To index an image, two features are proposed, which are the Color Co-occurrence Feature (CCF), and Bit Pattern Feature (BPF). Experimental results concluded that the proposed method outperformed the Block Truncation Coding (BTC) approach-based image retrieval systems, thus proving that ODBTC scheme is an effective descriptor to index the database images for efficient retrieval in the CBIR system.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-02-28

Issue

Volume 3, Issue 8, November-December-2017

Section

Research Articles

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Copyright (c) IJSRSET

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
R. P. Ramkumar, Empaty Akhila "A Study on Effective CBIR using ODBTC Method" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 8, pp.1109-1112 , November-December-2017.