Research Article
Geometric Perception of the Brain: A Classical Approach Using Image Segmentation
@INPROCEEDINGS{10.1007/978-3-031-60665-6_1, author={J. Leite and P. A. Salgado and T.-P. Azevedo Perdico\^{u}lis and P. Lopes dos Santos}, title={Geometric Perception of the Brain: A Classical Approach Using Image Segmentation}, proceedings={Wireless Mobile Communication and Healthcare. 12th EAI International Conference, MobiHealth 2023, Vila Real, Portugal, November 29-30, 2023 Proceedings}, proceedings_a={MOBIHEALTH}, year={2024}, month={6}, keywords={Medical Imaging Pre-processing Image Segmentation Image Analysis}, doi={10.1007/978-3-031-60665-6_1} }- J. Leite
P. A. Salgado
T.-P. Azevedo Perdicoúlis
P. Lopes dos Santos
Year: 2024
Geometric Perception of the Brain: A Classical Approach Using Image Segmentation
MOBIHEALTH
Springer
DOI: 10.1007/978-3-031-60665-6_1
Abstract
This work focuses on the application of image processing techniques to segment and analyze images of brain sections with the aim of facilitating early diagnosis of brain tumors. The aim is to delineate specific regions of the brain, such as the cranial, intracranial, and encephalic regions, for subsequent geometric analysis. The process involves image pre-processing, conversion to polar coordinates, determination of contour points, Fourier Series approximation, and the use of the Least Square Method to obtain accurate representations of the regions. The proposed approach was tested on Magnetic Resonance Images of three different brains, showing its capability to accurately delineating the targeted regions. The results highlight the potential of signal processing techniques for analyzing brain images and provide insights for further research in this area.
