Automatic Initial Boundary Generation Methods Based on Edge Detectors for the Level Set Function of the Chan-Vese Segmentation Model and Applications in Biomedical Image Processing-Reference-Cited by-同舟云学术

Automatic Initial Boundary Generation Methods Based on Edge Detectors for the Level Set Function of the Chan-Vese Segmentation Model and Applications in Biomedical Image Processing

Published:2019-10-02 Issue: Volume: Page:171-181
ISSN:2194-5357
Container-title:Frontiers in Intelligent Computing: Theory and Applications
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Author:

Thanh Dang N. H.,Hien Nguyen Ngoc,Surya Prasath V. B.,Thanh Le Thi,Hai Nguyen Hoang

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-9920-6_18

Reference13 articles.

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3. Pascal, G.: Chan-Vese segmentation. Image Processing Online. https://doi.org/10.5201/ipol.2012.g-cv (2012)

4. Piotr, S., Bartłomiej, W.P., Julia, A.S., Colin, M.: A level-set approach to joint image segmentation and registration with application to CT lung imaging. Comput. Med. Imaging Graph. 65, 58–68 (2018)

5. Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Pearson Prentice Hall, New Jersey (2008)

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