Abstract | ||
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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. (C) 2010 Published by Elsevier Ltd. |
Year | DOI | Venue |
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2010 | 10.1016/j.procs.2010.04.306 | Procedia Computer Science |
Keywords | Field | DocType |
Image segmentation,Active Contour,Echocardiograpy,Left Ventricle | Active contour model,Computer vision,Image gradient,Scale-space segmentation,Pattern recognition,Segmentation,Computer science,Segmentation-based object categorization,Hough transform,Image quality,Image segmentation,Artificial intelligence | Journal |
Volume | Issue | ISSN |
1 | 1 | 1877-0509 |
Citations | PageRank | References |
5 | 0.40 | 16 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
A. Skalski | 1 | 5 | 0.40 |
P. Turcza | 2 | 18 | 3.32 |
Tomasz P. Zielinski | 3 | 62 | 17.33 |
J. Królczyk | 4 | 5 | 0.40 |
T. Grodzicki | 5 | 5 | 0.40 |