Indexed by:期刊论文
Date of Publication:2014-02-01
Journal:INVERSE PROBLEMS AND IMAGING
Included Journals:SCIE、Scopus
Volume:8
Issue:1
Page Number:293-320
ISSN No.:1930-8337
Key Words:Active contours; local energy function; partial differential equations; segmentation; level sets; geometric constraints
Abstract: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.
Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Gender:Male
Alma Mater:吉林大学
Degree:Doctoral Degree
School/Department:数学科学学院
Discipline:Computational Mathematics. Financial Mathematics and Actuarial Science
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