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International Workshop on Medical Imaging and Augmented Reality (MIAR '01)
A Dynamic Programming Based Algorithm for Optimal Edge Detection in Medical Images
Shatin, N.T., Hong Kong
June 10-June 12
ISBN: 0-7695-1113-9
ASCII Text
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Bin Lee, Jia-yong Yan, Tian-ge Zhuang, "A Dynamic Programming Based Algorithm for Optimal Edge Detection in Medical Images," Medical Imaging and Augmented Reality, International Workshop on, pp. 0193, International Workshop on Medical Imaging and Augmented Reality (MIAR '01), 2001.
 
 
BibTex
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@article{ 10.1109/MIAR.2001.930285,
author = {Bin Lee and Jia-yong Yan and Tian-ge Zhuang},
title = {A Dynamic Programming Based Algorithm for Optimal Edge Detection in Medical Images},
journal ={Medical Imaging and Augmented Reality, International Workshop on},
volume = {0},
year = {2001},
isbn = {0-7695-1113-9},
pages = {0193},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIAR.2001.930285},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Medical Imaging and Augmented Reality, International Workshop on
TI - A Dynamic Programming Based Algorithm for Optimal Edge Detection in Medical Images
SN - 0-7695-1113-9
SP
EP
A1 - Bin Lee,
A1 - Jia-yong Yan,
A1 - Tian-ge Zhuang,
PY - 2001
KW - Image segmentation
KW - Dynamic programming (DP)
KW - Edge detection
KW - Edge enhancment
VL - 0
JA - Medical Imaging and Augmented Reality, International Workshop on
ER -
 
Bin Lee, Shanghai Jiaotong University
Jia-yong Yan, Shanghai Jiaotong University
Tian-ge Zhuang, Shanghai Jiaotong University
Abstract: This paper explores a novel dynamic programming (DP) based optimal technique in ultrasound image (USI) edge detection, which is less constrained now than previous. Dynamic programming is an optimal approach in multistage decision-making. In an image segmentation system, we want to find a global optimal contour with connectedness and closeness. The DP algorithms process the object image to get the minimum cumulative cost matrix to tracing a global optimal edge. Combined with LUM nonlinear enhancement filter and Gaussian preprocessor, this method shows robustness on noisy image edge detection.
Index Terms:
Image segmentation, Dynamic programming (DP), Edge detection, Edge enhancment
Citation:
Bin Lee, Jia-yong Yan, Tian-ge Zhuang, "A Dynamic Programming Based Algorithm for Optimal Edge Detection in Medical Images," miar, pp.0193, International Workshop on Medical Imaging and Augmented Reality (MIAR '01), 2001
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