標題: A discrete region competition approach incorporating weak edge enhancement for ultrasound image segmentation
作者: Chen, CM
Lu, HHS
Chen, YL
統計學研究所
Institute of Statistics
關鍵字: ultrasound image segmentation;speckle;early vision;region segmentation
公開日期: 1-Feb-2003
摘要: Ultrasound images are inherently difficult to analyze due to their echo texture, speckle noise and weak edges. Taking into account these characteristics, we present a new region-based approach for ultrasound image segmentation. It is composed of two primary algorithms, discrete region competition and weak edge enhancement. The discrete region competition features four techniques, region competition, statistical modeling of speckle, early vision modeling, and discrete concepts. In addition, to prevent regions from leaking out of the desired area across weak edges, edges located on the slowly varying slope are enhanced according to their position on the slope and the length of the slope. This new approach has been implemented and verified on clinical ultrasound images. (C) 2002 Elsevier Science B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/S0167-8655(02)00175-7
http://hdl.handle.net/11536/28146
ISSN: 0167-8655
DOI: 10.1016/S0167-8655(02)00175-7
期刊: PATTERN RECOGNITION LETTERS
Volume: 24
Issue: 4-5
起始頁: 693
結束頁: 704
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