Infrared medical image visualization and anomalies analysis method

Jing Gong; Zhong Chen; Jing Fan; Liang Yan

doi:10.1117/12.2203648

14 December 2015 Infrared medical image visualization and anomalies analysis method

Jing Gong, Zhong Chen, Jing Fan, Liang Yan

Proceedings Volume 9814, MIPPR 2015: Parallel Processing of Images and Optimization; and Medical Imaging Processing; 98140B (2015) https://doi.org/10.1117/12.2203648
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

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.

Citation Download Citation

Jing Gong, Zhong Chen, Jing Fan, and Liang Yan "Infrared medical image visualization and anomalies analysis method", Proc. SPIE 9814, MIPPR 2015: Parallel Processing of Images and Optimization; and Medical Imaging Processing, 98140B (14 December 2015); https://doi.org/10.1117/12.2203648

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