This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2009 Ninth International Conference on Hybrid Intelligent Systems
A Soybean Image Noise Smoothing Method Using Multi-scale Morphology
Shenyang, China
August 12-August 14
ISBN: 978-0-7695-3745-0
ASCII Text
x 
 
Yuhua Chai, Danting Zhao, Rong Wang, "A Soybean Image Noise Smoothing Method Using Multi-scale Morphology," Hybrid Intelligent Systems, International Conference on, vol. 3, pp. 437-441, 2009 Ninth International Conference on Hybrid Intelligent Systems, 2009.
 
 
BibTex
x
 
@article{ 10.1109/HIS.2009.302,
author = {Yuhua Chai and Danting Zhao and Rong Wang},
title = {A Soybean Image Noise Smoothing Method Using Multi-scale Morphology},
journal ={Hybrid Intelligent Systems, International Conference on},
volume = {3},
year = {2009},
isbn = {978-0-7695-3745-0},
pages = {437-441},
doi = {http://doi.ieeecomputersociety.org/10.1109/HIS.2009.302},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Hybrid Intelligent Systems, International Conference on
TI - A Soybean Image Noise Smoothing Method Using Multi-scale Morphology
SN - 978-0-7695-3745-0
SP437
EP441
A1 - Yuhua Chai,
A1 - Danting Zhao,
A1 - Rong Wang,
PY - 2009
KW - Image Processing; Noise Smoothing; Multiscale Morphology
VL - 3
JA - Hybrid Intelligent Systems, International Conference on
ER -
 
A soybean image noise smoothing method using multi-scale morphology is presented in this paper. The method is based on manipulating the intensity of scale-specific features present in the noisy image. Features at various scales are extracted by means of morphological filtering. The proposed scheme has been implemented by using morphological towers to smooth noise in images. The algorithm has been tested on sample images corrupted with various kinds of noise. The results have been compared with those of other standard methods. It is found that the performance of the proposed method is satisfactory and superior to other methods referred in this paper.
Index Terms:
Image Processing; Noise Smoothing; Multiscale Morphology
Citation:
Yuhua Chai, Danting Zhao, Rong Wang, "A Soybean Image Noise Smoothing Method Using Multi-scale Morphology," his, vol. 3, pp.437-441, 2009 Ninth International Conference on Hybrid Intelligent Systems, 2009
Usage of this product signifies your acceptance of the Terms of Use.