Magnetostatic Active Contour Model with Classification Method of Sparse Representation
The active contour model is widely used to segment images. For the classical magnetostatic active contour (MAC) model, the magnetic field is computed based on the detected points by using an edge detector. However, noise and nontarget points are always detected. Thus, MAC is nonrobust to noise and t...
Saved in:
Main Authors: | Guoqi Liu, Yifei Dong, Ming Deng, Yihang Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/5438763 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
DETECTION METHOD FOR CUTTER WEAR OF TBM BASED ON MAGNETOSTATIC EFFECT
by: HAN JiaLin
Published: (2022-01-01) -
Exact Travelling Wave Solutions for Isothermal Magnetostatic Atmospheres by Fan Subequation Method
by: Hossein Jafari, et al.
Published: (2012-01-01) -
Dictionary-Based, Clustered Sparse Representation for Hyperspectral Image Classification
by: Zhen-tao Qin, et al.
Published: (2015-01-01) -
Automatic Classification Method of Music Genres Based on Deep Belief Network and Sparse Representation
by: Lina Pan
Published: (2022-01-01) -
Retracted: Automatic Classification Method of Music Genres Based on Deep Belief Network and Sparse Representation
by: Journal of Mathematics
Published: (2023-01-01)