Active Contour Model using Cellular Neural Networks
碩士 === 義守大學 === 資訊工程學系碩士班 === 93 === Active contour model (ACM) is an important contour segmentation method for image processing especially for low contrast and high noised image such as medical and remote sensing images. Traditional methods adopt the combination of internal and external energies, w...
Main Authors: | Hsuan-ying Chen, 陳軒盈 |
---|---|
Other Authors: | J. H. Jeng |
Format: | Others |
Language: | zh-TW |
Published: |
2005
|
Online Access: | http://ndltd.ncl.edu.tw/handle/10137008080745015281 |
Similar Items
-
Active Contours Driven by Cellular Neural Networks for Image Segmentation in Biomedical Applications
by: Bogdan BELEAN
Published: (2021-09-01) -
Detecting and tracking pedestrians using active contour models and neural networks
by: Tabb, Ken John
Published: (2004) -
Image/Video Super-Resolution and Fusion Using Visual Attention Model, Artificial Neural Network, and Particle Swarm Optimization
by: Chen, Hsuan-Ying, et al.
Published: (2011) -
Segmentation of magnetic resonance images using a combination of neural networks and active contour models
by: Middleton, I., et al.
Published: (2004) -
An Application of Neural Network in Navigation Technology of Terrain Contour Matching
by: Chen ,Shen Jen, et al.
Published: (1996)