Framelet-Based Algorithm for Segmentation of Tubular Structures
Refereed conference paper presented and published in conference proceedings

香港中文大學研究人員

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摘要Framelets have been used successfully in various problems in image processing, including inpainting, impulse noise removal, super-resolution image restoration, etc. Segmentation is the process of identifying object outlines within images. There are quite a few efficient algorithms for segmentation that depend on the partial differential equation modeling. In this paper, we apply the framelet-based approach to identify tube-like structures such as blood vessels in medical images. Our method iteratively refines a region that encloses the possible boundary or surface of the vessels. In each iteration, we apply the framelet-based algorithm to denoise and smooth the possible boundary and sharpen the region. Numerical experiments of real 2D/3D images demonstrate that the proposed method is very efficient and outperforms other existing methods.
著者Cai XH, Chan RH, Morigi S, Sgallari F
會議名稱3rd International Conference on Scale Space and Variational Methods in Computer Vision
會議開始日29.05.2011
會議完結日02.06.2011
會議地點Ein Gedi
會議國家/地區以色列
期刊名稱Lecture Notes in Artificial Intelligence
出版年份2012
月份1
日期1
卷號6667
出版社SPRINGER-VERLAG BERLIN
頁次411 - 422
國際標準書號978-3-642-24784-2
國際標準期刊號0302-9743
語言英式英語
Web of Science 學科類別Computer Science; Computer Science, Artificial Intelligence; Computer Science, Theory & Methods

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