Digital Image Processing
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Retrieval by Elastic Matching of Shapes and Image Patterns
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Augmenting the generalized hough transform to enable the mining of petroglyphs
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Texture edge statistics for efficient retrieval of biomedical images
Proceedings of the 5th ACM COMPUTE Conference: Intelligent & scalable system technologies
Figure Based Biomedical Document Retrieval System using Structural Image Features
International Journal of Knowledge Discovery in Bioinformatics
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Recent advances in healthcare such as Evidence Based Medicine (EBM) and Clinical Decision Support Systems (CDSS) requires practitioners to frequently access archived historical healthcare literatures and images. As the majority of healthcare literatures contain images such as medical images, clip arts, waveforms, flow charts and block diagrams, in this paper we present the use of Content Based Image Retrieval (CBIR) for efficient healthcare literature search and retrieval. We introduce a novel shape based feature called Fourier Edge Orientation Autocorrelogram (FEOAC) for search and retrieval of healthcare literatures. Scale and translation invariant Edge Orientation Autocorrelogram (EOAC) feature is made rotation invariant by applying Fourier transform. This Fourier based shape feature also reduces the feature set dimension enabling faster retrieval of document images in large databases. Experimental results show that FEOAC outperforms EOAC for search and retrieval of healthcare document images, with improved precision and recall rates.