Affiliation:
1. Department of Computer Science and Engineering, Kamaraj College of Engineering and Technology, Madurai, India
2. Department of Computer Science and Engineering, Mepco Schlenk Engineering College, Sivakasi, India
3. Department of Electronics and Communication, Engineering, Kamaraj College of Engineering and Technology, Madurai, India
Abstract
Nowadays, user expects image retrieval systems using a large database as an active research area for the investigators. Generally, content-based image retrieval system retrieves the images based on the low-level features, high-level features, or the combination of both. Content-based image retrieval results can be improved by considering various features like directionality, contrast, coarseness, busyness, local binary pattern, and local tetra pattern with modified binary wavelet transform. In this research work, appropriate features are identified, applied and results are validated against existing systems. Modified binary wavelet transform is a modified form of binary wavelet transform and this methodology produced more similar retrieval images. The proposed system also combines the interactive feedback to retrieve the user expected results by addressing the issues of semantic gap. The quantitative evaluations such as average retrieval rate, false image acceptation ratio, and false image rejection ratio are evaluated to ensure the user expected results of the system. In addition to that, precision and recall are evaluated from the proposed system against the existing system results. When compared with the existing content-based image retrieval methods, the proposed approach provides better retrieval accuracy.
Subject
Applied Mathematics,Control and Optimization,Instrumentation
Cited by
6 articles.
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