1 |
C. C. Kang and W. J. Wang, “A novel edge detection method based on the maximizing objective function”, Pattern Recognition, vol.40, no.2, pp.609-618, 2007.
DOI
ScienceOn
|
2 |
G. Shafer, A Mathematical Theory of Evidence, Princeton University, 1976.
|
3 |
Z. Chunjiang and D. Yong, “Color image edge detection using Dempster-Shafer theory”, Conf. 2009 Artificial Intelligence and Computational Intelligence, pp.476-479, 2009.
|
4 |
Z. Chunjiang and D. Yong, “A modified Sobel edge detection using Dempster-Shafer theory”, Conf. 2009 Image and Signal Processing, pp.1-4, 2009.
|
5 |
T.-C. Lin, “Partition belief median filter based on Dempster-Shafer theory for image processing”, Pattern Recognition, vol.41, no.1, pp.139-151, 2008.
DOI
ScienceOn
|
6 |
M. Rombaut and Y. M. Zhu, “Study of Dempster-Shafer theory for image segmentation applications”, Image and Vision Computing, vol.20, no.1, pp.15-23, 2002.
DOI
ScienceOn
|
7 |
P. Vasseur, C. Pegard, E. Mouaddib, and L. Delahoche, “Perceptual organization approach based on Dempster-Shafer theory”, Pattern Recognition, vol.32, no.8, pp.1449-1462, 1999.
DOI
ScienceOn
|
8 |
L. R. Liang and C. G. Looney, “Competitive fuzzy edge detection”, Applied Soft Computing, vol.3, no.2, pp.123-127, 2003.
DOI
ScienceOn
|
9 |
R. C. Gonzalez, R. E. Woods, and S. L. Eddins, Digital Image Processing using MATLAB, Pearson, NJ, 2004.
|
10 |
J. Canny, “A computational approach to edge detection”,IEEE Trans. Pattern Analysis and Machine Intelligence, vol.8,no.6, pp.679-698, 1986.
DOI
ScienceOn
|
11 |
S. Zheng, J. Liu, and J. W. Tian, “A new efficient SVM based edge detection method”, Pattern Recognition Lett., vol.25, no.10, pp.1143-1154, 2004.
DOI
ScienceOn
|