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Proceedings Paper

Infrared medical image visualization and anomalies analysis method
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Paper Abstract

Infrared medical examination finds the diseases through scanning the overall human body temperature and obtaining the temperature anomalies of the corresponding parts with the infrared thermal equipment. In order to obtain the temperature anomalies and disease parts, Infrared Medical Image Visualization and Anomalies Analysis Method is proposed in this paper. Firstly, visualize the original data into a single channel gray image: secondly, turn the normalized gray image into a pseudo color image; thirdly, a method of background segmentation is taken to filter out background noise; fourthly, cluster those special pixels with the breadth-first search algorithm; lastly, mark the regions of the temperature anomalies or disease parts. The test is shown that it’s an efficient and accurate way to intuitively analyze and diagnose body disease parts through the temperature anomalies.

Paper Details

Date Published: 14 December 2015
PDF: 5 pages
Proc. SPIE 9814, MIPPR 2015: Parallel Processing of Images and Optimization; and Medical Imaging Processing, 98140B (14 December 2015); doi: 10.1117/12.2203648
Show Author Affiliations
Jing Gong, Huazhong Univ. of Science and Technology (China)
Beijing Aerospace Automatic Control Institute (China)
Zhong Chen, Huazhong Univ. of Science and Technology (China)
Beijing Aerospace Automatic Control Institute (China)
Jing Fan, Huazhong Univ. of Science and Technology (China)
Beijing Aerospace Automatic Control Institute (China)
Liang Yan, Huazhong Univ. of Science and Technology (China)
Beijing Aerospace Automatic Control Institute (China)


Published in SPIE Proceedings Vol. 9814:
MIPPR 2015: Parallel Processing of Images and Optimization; and Medical Imaging Processing
Jianguo Liu, Editor(s)

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