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The core objective of this paper is to improve the performance of Content Based Image Retrieval (CBIR) system for biological image by intelligent selection of discriminative feature sets from the set of canonical features. The performance of the CBIR system can be further enhanced by proper selection of Classifier and fine tuning model parameters to obtain improved classification accuracy. We extracted...