Abstract
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.
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Mambou, S., Krejcar, O., Selamat, A., Dobrovolny, M., Maresova, P., & Kuca, K. (2020). Novel Thermal Image Classification Based on Techniques Derived from Mathematical Morphology: Case of Breast Cancer. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12108 LNBI, pp. 683–694). Springer. https://doi.org/10.1007/978-3-030-45385-5_61
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