A Review of Genetic Algorithm-Based Optimization in Content-Based Image Retrieval

Dr. Harsh Mathur; Mr. Sanjay Pal

A Review of Genetic Algorithm-Based Optimization in Content-Based Image Retrieval

Authors: Dr. Harsh Mathur, Mr. Sanjay Pal

Unique Paper ID: 171941
Volume: 11
Issue: 8
PageNo: 1339-1343

Keywords: No Keywords Found

Abstract:
Content-Based Image Retrieval (CBIR) is a critical area of research in the field of computer vision and multimedia information retrieval. The use of genetic algorithms (GAs) for optimizing CBIR systems has gained significant attention due to their ability to explore complex search spaces efficiently. This review paper summarizes existing literature on CBIR systems, emphasizing the challenges of feature selection, dimensionality reduction, and computational efficiency. Furthermore, it examines the application of GAs for optimizing feature set processing in CBIR, highlighting their advantages, limitations, and potential future directions.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 8
PageNo: 1339-1343

A Review of Genetic Algorithm-Based Optimization in Content-Based Image Retrieval

Available:https://ijirt.org/Article?manuscript=171941

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