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Analysis of breast thermograms for ROI extraction and description using mathematical morphology
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Paper Abstract

The detection of a temperature increase or hot spots in breast thermograms can be related with high metabolic activity of disease cells. Image processing algorithms to seek mainly temperature increases above 3°C which have a high probability of being a malignancy are proposed. Also a derivative operator is used to highlights breast regions of interest (ROI). In order to determinate a medical alert, a feature descriptor of the ROI is constructed using its maximum temperature, maximum increase of temperature, sector/quadrant position in the breast, and area. The proposed algorithms are tested in a home database and a public database for mastology research.

Paper Details

Date Published: 19 September 2017
PDF: 6 pages
Proc. SPIE 10396, Applications of Digital Image Processing XL, 103961D (19 September 2017); doi: 10.1117/12.2274402
Show Author Affiliations
O. A. Zermeño-Loreto, Polytechnic Univ. of Tulancingo (Mexico)
C. Toxqui-Quitl, Polytechnic Univ. of Tulancingo (Mexico)
E. E. Orozco Guillén, Univ. Politecnica de Sinaloa (Mexico)
A. Padilla-Vivanco, Polytechnic Univ. of Tulancingo (Mexico)


Published in SPIE Proceedings Vol. 10396:
Applications of Digital Image Processing XL
Andrew G. Tescher, Editor(s)

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