Adaptively Active Contours Based on Variable Exponent Lp(|∇I|) Norm for Image Segmentation
Joint Authors
Li, Meng
Wen, Wenying
He, Chuanjiang
Zhan, Yi
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-04
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
We propose an Lp(|∇I|)-based adaptively active contours model for image segmentation which is derived from the well-known Chan-Vese (C-V) model.
Unlike the C-V model, the proposed model uses the Lp(|∇I|) (p(|∇I|)>2) norm instead of the L2 norm to define the external energy and incorporates an extra internal energy into the overall energy.
Due to the variable exponent p(|∇I|) which could fit the image gradient information adaptively, the proposed Lp(|∇I|)-based model has the hope of segmenting those images with low contrast and blurred boundaries.
Experimental results show that the proposed model with p(|∇I|)>2 really can effectively and quickly segment those images with low contrast and blurred boundaries.
American Psychological Association (APA)
Wen, Wenying& He, Chuanjiang& Li, Meng& Zhan, Yi. 2012. Adaptively Active Contours Based on Variable Exponent Lp(|∇I|) Norm for Image Segmentation. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-1029597
Modern Language Association (MLA)
Wen, Wenying…[et al.]. Adaptively Active Contours Based on Variable Exponent Lp(|∇I|) Norm for Image Segmentation. Mathematical Problems in Engineering No. 2012 (2012), pp.1-20.
https://search.emarefa.net/detail/BIM-1029597
American Medical Association (AMA)
Wen, Wenying& He, Chuanjiang& Li, Meng& Zhan, Yi. Adaptively Active Contours Based on Variable Exponent Lp(|∇I|) Norm for Image Segmentation. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-1029597
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1029597