Novel thermal image classification based on techniques derived from mathematical morphology: case of breast cancer

• Main Authors: Mambou, Sebastien, Krejcar, Ondrej, Selamat, Ali, Dobrovolny, Michal, Maresova, Petra, Kuca, Kamil
• Format: Conference or Workshop Item
• Published: 2020
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/92378/; http://dx.doi.org/10.1007/978-3-030-45385-5_61

Image processing (IP) is a method of converting an image to digital form by performing operations on it to obtain an improved image or to extract useful information from it. It is a type of signal distribution in which the input is an image such as a video image or a photograph, and the output can be an image or associated characteristics. Besides, this system includes the processing of images in the form of two-dimensional signals, while applying signal processing methods already defined for them. One of the essential steps in IP is a combined application of erosion and dilation procedures, which is part of the mathematical morphology. This article presents a novel thermal image classification based on techniques derived from mathematical morphology. In the processing of grayscale breast cancer images, this method reveals the region of interest as the whitest area.