Title :
A new definition of fuzzy contours in mammographic images
Author :
Marwa Hmida;Kamel Hamrouni;Basel Solaiman
Author_Institution :
Universite de Tunis El Manar, Ecole Nationale d´Ingenieurs de Tunis, LR-SITI Signal Image et Technologie de reformation, Tunis, Tunisie
Abstract :
In this paper, we give a new definition of fuzzy contours in mammographic images and we propose an approach to get them. This approach starts from region of interest images with initial contours delimiting masses provided by an expert radiologist, and then it involves three major stages: mass segmentation using geometric deformable models, contour representation and finally definition of fuzzy contours. For the first phase, the initial zero level set is performed by using the initial contour guided by the radiologist. After that, we propose a new representation of contours. Since the segmentation of masses in mammograms is a difficult problem due to the characteristics of mammographic image, and even mass edges can be identified differently by different radiologists and also by the same radiologist at a different time, we define an entire region that may contain the accurate edges, in which we assign to each pixel a membership value to the class "Contour". We call that fuzzy contours.
Keywords :
"Decision support systems","Image segmentation","Image edge detection","Yttrium","Deformable models","Level set"
Conference_Titel :
Image Processing Theory, Tools and Applications (IPTA), 2015 International Conference on
Print_ISBN :
978-1-4799-8636-1
Electronic_ISBN :
2154-512X
DOI :
10.1109/IPTA.2015.7367120