Level-set image processing methods in medical image segmentation

• Autorzy: Maciejewski M. , Surtel W. , Maciejewska B. , Małecka-Massalska T.

Identyfikatory

DOI

10.1515/bams-2014-0017

• Języki publikacji: EN

Abstrakty

EN

In this paper, two image processing methods for use in medical image processing based on the level set method are described. The theoretical bases are described and the methods are applied to a set of sample computed tomography images. The results are then compared. The results indicate that the Chan-Vese method is more useful for image segmentation in medicine than the distanceregulated method owing to both the significant differences in calculation time and the quality of results obtained for noisy images.

Słowa kluczowe

EN

image processing; level set; medical diagnosis

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; De Gruyter
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2015
• Tom: Vol. 11, no. 1
• Strony: 47--51
• Opis fizyczny: Bibliogr. 12 poz., rys., zdj.

Twórcy

autor

Maciejewski M.

• MSc, Institute of Electronics, Lublin University of Technology, Nadbystrzycka 38a 20-618 Lublin, Poland

autor

Surtel W.

• Institute of Electronics, Lublin University of Technology, Lublin, Poland

autor

Maciejewska B.

• Pneumonology, Oncology and Allergology Department, Medical University of Lublin, Lublin, Poland

autor

Małecka-Massalska T.

• Department of Human Physiology, Medical University of Lublin, Lublin, Poland

Bibliografia

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