Feature Evaluation and Classification for Content-Based Medical Image Retrieval System

The number of digital images is rapidly increasing, prompting the necessity for efficient image storage and retrieval systems. The management and the indexing of these large image and information repositories are becoming increasingly complex. Therefore, tools for efficient archiving, browsing and searching images are required. A straightforward way of using the existing information retrieval tools for visual material, is to annotate records by keywords and then to use the text-based query for database retrieval. Several approaches were proposed to use keyword annotations for image indexing and retrieval (Datta, 2008). These approaches are not adequate, since annotating images by textual keywords is neither desirable nor possible in many cases. Therefore, new approaches of indexing, browsing and retrieval of images are required. ABsTRAcT

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