Design, Implementation and Evaluation of Two Medical Content based Image Retrieval Systems

Francesco Maiorana and Carmelo Pino


Medical Content Based Image Retrieval, Gabor filter, Color coherence vector


This paper presents the design and implementation of two Content Based Image Retrieval Systems (CBIR). The first is developed in Matlab from scratch by choosing a combination of feature extraction algorithms, texture, color and shape, and by fine tuning the parameter for optimal performance. The system is also extended by an application of query by sketch. The second is based on the well known and robust Oracle 10g Data Base Management System by using the Oracle InterMedia module. The evaluation of the two systems is performed in the context of medical image retrieval highlighting advantages and drawbacks of the two approaches

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