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Fifth International Conference on Computer and Information Technology (CIT'05)
An Adaptive Edge Detector Using Soft Mathematical Morphology
Shanghai, China
September 21-September 23
ISBN: 0-7695-2432-X
ASCII Text
x 
 
Xiaoxin Guo, Zhiwen Xu, Yinan Lu, Yunjie Pang, "An Adaptive Edge Detector Using Soft Mathematical Morphology," Computer and Information Technology, International Conference on, pp. 603-607, Fifth International Conference on Computer and Information Technology (CIT'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/CIT.2005.60,
author = {Xiaoxin Guo and Zhiwen Xu and Yinan Lu and Yunjie Pang},
title = {An Adaptive Edge Detector Using Soft Mathematical Morphology},
journal ={Computer and Information Technology, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2432-X},
pages = {603-607},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2005.60},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Information Technology, International Conference on
TI - An Adaptive Edge Detector Using Soft Mathematical Morphology
SN - 0-7695-2432-X
SP603
EP607
A1 - Xiaoxin Guo,
A1 - Zhiwen Xu,
A1 - Yinan Lu,
A1 - Yunjie Pang,
PY - 2005
KW - null
VL - 0
JA - Computer and Information Technology, International Conference on
ER -
 
Xiaoxin Guo, College of Computer Science and Technology, Jilin University
Zhiwen Xu, College of Computer Science and Technology, Jilin University
Yinan Lu, College of Computer Science and Technology, Jilin University
Yunjie Pang, College of Computer Science and Technology, Jilin University

In this paper, a novel adaptive soft morphological Laplacian (ASML) filter is proposed, based on a combination of the ideas of the soft morphological filtering and the Laplacian operator. ASML filter is an adaptive nonlinear edge detector. The adaptivity is achieved by employing four directional structuring elements and the dynamic repetition parameter. ASML filter has the capability of selecting the directional structuring element with the maximum response, whose direction varies depending on the change of directional edges. In addition, by replacing the Laplacian operator with soft morphological one, the ASML filter provides an alternative algorithm for edge detection and noise suppression. The experimental results show that the ASML filter outperforms the traditional edge detector in the two aspects.

Citation:
Xiaoxin Guo, Zhiwen Xu, Yinan Lu, Yunjie Pang, "An Adaptive Edge Detector Using Soft Mathematical Morphology," cit, pp.603-607, Fifth International Conference on Computer and Information Technology (CIT'05), 2005
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