Schaefer, Gerald, Zhu, Shao Ying and Jones, Bryan (2006) Retrieving thermal medical images. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W. and Noakes, L, (eds.) Computer Vision and Graphics. Computational Imaging and Vision (32). Springer, pp. 906-911

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Abstract

Previous research on the automated processing on thermal medical images have typically focused on specialised applications like the detection of breast cancer. We propose the application of content-based image retrieval (CBIR) to medical infrared images. CBIR allows the retrieval of similar images based on features extracted directly from image data. Hence, image retrieval for a thermal image that shows symptoms of a certain disease will provide visually similar cases which will usually represent medically relevant cases. The image features we propose for this purpose are a set of complex moment invariants of the thermal images.

Item Type:	Book Section
Status:	Published
DOI:	https://doi.org/10.1007/1-4020-4179-9_133
School/Department:	School of Science, Technology and Health
URI:	https://ray.yorksj.ac.uk/id/eprint/9977

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