El Fahssi Khalid, Ounasser Saida, Mohamed Taj Bennani, Abenaou Abdenbi, "Development of a Medical Image Segmentation Algorithm based on Fuzzy C-Means Clustering," WSEAS Transactions on Signal Processing, vol. 19, pp. 215-220, 2023, DOI:10.37394/232014.2023.19.23
El Fahssi Khalid, Ounasser Saida, Mohamed Taj Bennani, Abenaou Abdenbi. Development of a Medical Image Segmentation Algorithm based on Fuzzy C-Means Clustering.
WSEAS Transactions on Signal Processing. 2023;19:215-220. 10.37394/232014.2023.19.23
WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 19, 2023
Development of a Medical Image Segmentation Algorithm based on Fuzzy C-Means Clustering
Authors: , , ,
Abstract: Breast mass segmentation in mammography plays a very important role in computer-aided diagnosis (CAD) systems. In this article, we propose a mammography image segmentation method based on a combined approach. The fuzzy clustering method and thresholding segmentation. Subsequently, we use the wavelet transform and the Canny filter for edge detection.
Pages: 215-220 WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 19, 2023, Art. #23 DOI: 10.37394/232014.2023.19.23
×
Citation Tools