Mambou, Sebastien and Krejcar, Ondrej and Selamat, Ali and Dobrovolny, Michal and Maresova, Petra and Kuca, Kamil (2020) Novel thermal image classification based on techniques derived from mathematical morphology: case of breast cancer. In: 8th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2020, 6 May 2020 - 8 May 2020, Granada, Spain.
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Official URL: http://dx.doi.org/10.1007/978-3-030-45385-5_61
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | breast cancer, image processing, morphology |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computing |
| ID Code: | 92378 |
| Deposited By: | Yanti Mohd Shah |
| Deposited On: | 28 Sep 2021 07:43 |
| Last Modified: | 28 Sep 2021 07:43 |
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