2010
DOI: 10.1016/j.patcog.2009.10.010
|View full text |Cite
|
Sign up to set email alerts
|

Active contours driven by local image fitting energy

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

2
590
0
2

Year Published

2013
2013
2019
2019

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 688 publications
(594 citation statements)
references
References 14 publications
2
590
0
2
Order By: Relevance
“…which is widely used in LSMs [4][5][6][ [8][9][10]. By using the global information of image shown from the formula (7), C-V model has several advantages comparing to the other ACMs [1][3] [11] in UCG image segmentation.…”
Section: C-v Modelmentioning
confidence: 99%
“…which is widely used in LSMs [4][5][6][ [8][9][10]. By using the global information of image shown from the formula (7), C-V model has several advantages comparing to the other ACMs [1][3] [11] in UCG image segmentation.…”
Section: C-v Modelmentioning
confidence: 99%
“…In this model Gaussian kernel functions are used instead of average intensities. This model works well for images having intensity inhomogeneity, but the computational cost is very high [16]. To overcome this drawback, Wang et al proposed a local energy-based model (local Chan-Vese (LCV)), [15] which is given by:…”
Section: Introductionmentioning
confidence: 99%
“…Recently, Zhang et al [16][17][18] combined the idea of geodesics [4] and the Chan-Vese [5] model and proposed the geodesic-aided Chan-Vese (GCV) model as follows:…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…This is because it had to be performed in four convolution operations. Furthermore, sometimes it did not reveal accurate segmentation at the desired object boundary [19,20,21].…”
Section: Introductionmentioning
confidence: 99%