Parallel Indexing on Color and Texture Feature Extraction using R-Tree for Content Based Image Retrieval
Keywords:
Image Retrieval, Parallel indexing, Content Based image Retrieval (CBIR), R Tree, FCTH, Fitness ScoreAbstract
Content Based Image Retrieval (CBIR) is a challenging method of capturing relevant image from a large storage space. This paper comprise of image features such as color and texture, which is intended to use in image retrieval. These features are extracted using fuzzy approaches. Numerous methods have been introduced in image retrieval systems. However, those methods have its drawbacks. In this paper novel system architecture for CBIR system which combines techniques includes CBIR and fuzzy based feature extraction, indexing procedure as well as genetic algorithm. This proposed approach is found to be very effective and efficient while comparing to previous methods and approaches in image retrieval in terms of retrieving most relevant images with less computational time.
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