A discrete region competition approach incorporating weak edge enhancement for ultrasound image segmentation

Authors:
Chung-Ming Chen;Henry Horng-Shing Lu;Yao-Lin Chen
Affiliations:
Institute of Biomedical Engineering, National Taiwan University, Taiwan;Institute of Statistics, National Chiao Tung University, 1001 Ta Hsueh Road, 30050 Hsinchui, Taiwan;Institute of Statistics, National Chiao Tung University, 1001 Ta Hsueh Road, 30050 Hsinchui, Taiwan
Venue:
Pattern Recognition Letters - Speciqal issue: Ultrasonic image processing and analysis
Year:
2003

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Abstract

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.