DocumentCode
2900848
Title
Multiple active contour models with application to region extraction
Author
Abe, Toru ; Matsuzawa, Yuki
Author_Institution
Sch. of Inf. Sci., Japan Adv. Inst. of Sci. & Technol., Ishikawa, Japan
Volume
1
fYear
2000
fDate
2000
Firstpage
626
Abstract
For interactive image manipulation, a new region extraction method using active contour model (ACM) is proposed. In this method, to the region of a single object, multiple ACMs controlled by the statistical characteristics of image data are applied. These ACMs compete with each other, and each ACM extracts a subregion of uniform image properties. The entire region of the object is extracted as a set of several subregions. This method requires multiple initial ACMs set. To ease this initial setting, a procedure for making initial ACMs from a few initial curves is also proposed. In this procedure, a few initial curves are set in an image, each initial curve is divided into appropriate number segments at the optimal loci, and multiple initial ACMs are made by dilating these segments
Keywords
computer vision; edge detection; feature extraction; image segmentation; optimisation; parameter estimation; statistical analysis; active contour models; feature extraction; image segmentation; initial curves; interactive images; optimal loci; parameter estimation; region extraction; statistical analysis; Active contours; Active shape model; Application software; Computer science; Data mining; Deformable models; Image processing; Image segmentation; Information science; Robust control;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.905416
Filename
905416
Link To Document