Left ventricle USG image segmentation using active contour model | Zendy

Andrzej Skalski | Zendy; Paweł Turcza | Zendy; Tomasz P. Zieliński | Zendy; Jarosław Królczyk | Zendy; Tomasz Grodzicki | Zendy

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Left ventricle USG image segmentation using active contour model

Author(s) -

Andrzej Skalski,

Paweł Turcza,

Tomasz P. Zieliński,

Jarosław Królczyk,

Tomasz Grodzicki

Publication year - 2010

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2010.04.306

Subject(s) - computer science , artificial intelligence , computer vision , segmentation , anisotropic diffusion , active contour model , hough transform , speckle noise , image segmentation , correctness , speckle pattern , noise (video) , image (mathematics) , pattern recognition (psychology) , algorithm

In the paper novel application of active contour without edges method to left ventricle segmentation in ultrasound echocardiographic images is presented. In the proposed approach detection of informative image part and limitation of segmentation area is done by means of Hough transform what guarantees stability and correctness of the segmentation algorithm working on border between object and background with small absolute value of image gradient. Additionally, in order to increase image quality, speckle noise anisotropic diffusion filtering was applied to input noisy data. Preliminary quantitative results for artificial USG-like images and visual ones for real echocardiographic data are presented in the paper

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