Zhu, Shao Ying and Schaefer, G. (2004) Thermal Medical Image Retrieval by Moment Invariants. In: Barreiro, J. M., Martín-Sánchez, F., Maojo, V. and Sanz, F., (eds.) Biological and Medical Data Analysis. ISBMDA 2004. Lecture Notes in Computer Science (3337). Springer, pp. 182-187

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Abstract

Thermal medical imaging provides a valuable method for detecting various diseases such as breast cancer or Raynaud’s syndrome. While previous efforts on the automated processing on thermal infrared images were designed for and hence constrained to a certain type of disease we apply the concept of content-based image retrieval (CBIR) as a more generic approach to the problem. CBIR allows the retrieval of similar images based on features extracted directly from image data. Image retrieval for a thermal image that shows symptoms of a certain disease will provide visually similar cases which usually also represent similarities in medical terms. The image features we investigate in this study are a set of combinations of geometric image moments which are invariant to translation, scale, rotation and contrast.

Item Type:	Book Section
Status:	Published
DOI:	10.1007/978-3-540-30547-7_19
School/Department:	School of Science, Technology and Health
URI:	https://ray.yorksj.ac.uk/id/eprint/9943

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