Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Shape Matching Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Effective Edge Detection Methodology for Medical Images Based on Texture Discrimination
ICAPR '09 Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition
An efficient shape based feature for retrieval of healthcare literatures using CBIR technique
COMPUTE '11 Proceedings of the Fourth Annual ACM Bangalore Conference
Towards the improvement of textual anatomy image classification using image local features
MMAR '11 Proceedings of the 2011 international ACM workshop on Medical multimedia analysis and retrieval
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Adoption of Clinical Decision Support Systems in the process of clinical decision process has been gaining attention in recent times. Such intelligent decision support systems need frequent access to historic medical data such as medical images and associated reports. Content Based Image Retrieval has been preferred choice of technique for such smart retrieval of medical images based on their content. In this paper, we introduce a new approach for deriving edge based features for retrieval of medical images. Texture edges are known to represent the tissue boundaries better than intensity edges in medical images. Therefore, we use texture edges for describing image structure instead of traditional approach of using intensity edges. We demonstrate that retrieval performance at organ level in medical images using texture edges is superior to intensity edges.