19 September 2017 Analysis of breast thermograms for ROI extraction and description using mathematical morphology
Author Affiliations +
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.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
O. A. Zermeño-Loreto, C. Toxqui-Quitl, E. E. Orozco Guillén, A. Padilla-Vivanco, "Analysis of breast thermograms for ROI extraction and description using mathematical morphology", Proc. SPIE 10396, Applications of Digital Image Processing XL, 103961D (19 September 2017); doi: 10.1117/12.2274402; https://doi.org/10.1117/12.2274402
PROCEEDINGS
6 PAGES + PRESENTATION

SHARE
RELATED CONTENT

Approach to quality control of texture web materials
Proceedings of SPIE (October 03 1995)
Imaging in digestive videoendoscopy
Proceedings of SPIE (July 01 1991)
Performance Evaluation Of Image Correlation Techniques
Proceedings of SPIE (September 04 1979)
Invariant approach to the character classification
Proceedings of SPIE (April 25 2008)

Back to Top