FPGA Realization of sobel edge detection algorithm for breast cancer detection using thermal images

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Publicado en 3C Tecnología. Edición Especial/Special Issue – Noviembre/November 2021



According to World Health Organization, breast cancer is the most prevailing cancer among women which claims thousands of lives each year. Mammogram imaging modality is the popular traditional diagnosing tool used for breast cancer screening. However, one in 5 breast cancers have been missed in this screening as these machines are incapable of detecting it in early stage. Hence emerging thermography procedure is also suggested for clinical records. It produces the skin surface temperature as a thermal pattern imaging. The aim of this work is to detect breast cancer using thermographic images. Thermal images available in the DMR database have been employed for this analysis. The color conversion using YcRcB color model is carried out to extract the features from raw image. Gray tone images are obtained using thresholding. Sobel edge detection algorithm is used to segment normal and abnormal images. The image preprocessing and thresholding are done in MATLAB and segmentation algorithm is implemented in SPARTAN-3 Tyro plus FPGA kit using EDK. This developed system may help the doctors to give a second opinion.


Palabras clave

Breast cancer, Thermal Images, FPGA, Segmentation.

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