Title
Image segmentation using fuzzy energy-based active contour with shape prior.
Abstract
•A fuzzy energy-based active contour model with shape prior information for image segmentation is proposed.•The pose variation and energy minimization problems are handled without solving Euler–Lagrange equations.•The evolving shape and reference shape are aligned using a shape normalization procedure.•The reference shape could be constructed by performing the Principle Component Analysis on a set of training shapes.•The energy functional is minimized by directly calculating the fuzzy energy alterations.
Year
DOI
Venue
2014
10.1016/j.jvcir.2014.06.006
Journal of Visual Communication and Image Representation
Keywords
Field
DocType
Image segmentation,Shape prior,Shape normalization,Level set method,Fuzzy energy,Moment-based alignment,Active contour models,PCA
Active contour model,Active shape model,Computer vision,Point distribution model,Gradient descent,Pattern recognition,Level set method,Image segmentation,Artificial intelligence,Energy functional,Mathematics,Shape analysis (digital geometry)
Journal
Volume
Issue
ISSN
25
7
1047-3203
Citations 
PageRank 
References 
10
0.46
30
Authors
3
Name
Order
Citations
PageRank
Thi-Thao Tran1323.50
Van-Truong Pham2535.29
Kuo-Kai Shyu339443.06