Development of a Medical Image Segmentation Algorithm based on Fuzzy C-Means Clustering-Reference-Cited by-同舟云学术

Development of a Medical Image Segmentation Algorithm based on Fuzzy C-Means Clustering

Published:2023-12-31 Issue: Volume:19 Page:215-220
ISSN:2224-3488
Container-title:WSEAS TRANSACTIONS ON SIGNAL PROCESSING
language:en
Short-container-title:

Author:

Khalid El Fahssi¹,Saida Ounasser²,Bennani Mohamed Taj³,Abdenbi Abenaou²

Affiliation:

1. Department Computer Science, LISAC, Faculty of Science Dhar El Mahraz, Sidi Mohamed Ben Abdellah University of Fez, MOROCCO

2. Applied Mathematics and Intelligent Systems Engineering (MAISI), Ibn Zohr University, ENSA-Agadir, MOROCCO

3. LPAIS Laboratory, Computing Science Department, Faculty of Sciences Dhar El Mahraz Fez, Sidi Mohamed Ben Abdellah University, Fez, MOROCCO

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.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

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