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论文类型：期刊论文

发表时间：2014-02-01

发表刊物：INVERSE PROBLEMS AND IMAGING

收录刊物：SCIE、Scopus

卷号：8

期号：1

页面范围：293-320

ISSN号：1930-8337

关键字：Active contours; local energy function; partial differential equations; segmentation; level sets; geometric constraints

摘要：Many effective models are available for segmentation of an image to extract all homogenous objects within it. For applications where segmentation of a single object identifiable by geometric constraints within an image is desired, much less work has been done for this purpose. This paper presents an improved selective segmentation model, without 'balloon' force, combining geometrical constraints and local image intensity information around zero level set, aiming to overcome the weakness of getting spurious solutions by Badshah and Chen's model [8]. A key step in our new strategy is an adaptive local band selection algorithm. Numerical experiments show that the new model appears to be able to detect an object possessing highly complex and nonconvex feature, and to produce desirable results in terms of segmentation quality and robustness.