APPLICATION CHAN-VESE METHODS IN MEDICAL IMAGE SEGMENTATION


Abstract

The article presents the problem of determining the edges of objects enclosed in a medical CT images, which will be subject to further analysis, for the purpose of medical diagnosis. The use of a transformation which introduces two-point thresholding, eliminates presenting pixels of objects for tissues that are not a subject to further analysis. This approach allowed us to sharpen the edges of objects presenting soft tissue. A way to detect the edge of the soft tissue was compared for the original image and processed one using the transformation using the method of Chan-Vese. Sharpening of edges of the image have improved the accuracy of detection of objects presenting the soft tissue.


Keywords

thresholding; Chan-Vese; image processing; CT

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Published : 2015-10-28


Prokop, P. (2015). APPLICATION CHAN-VESE METHODS IN MEDICAL IMAGE SEGMENTATION. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 5(4), 32-37. https://doi.org/10.5604/20830157.1176571

Paweł Prokop  pawel.prokop@pollub.edu.pl
Politechnika Lubelska, Wydział Elektrotechniki i Informatyki  Poland