Madonna G. Herron

	2007
11		Sonya A. Coleman, Bryan W. Scotney, Madonna G. Herron: A validated edge model technique for the empirical performance evaluation of discrete zero-crossing methods. Image Vision Comput. 25(8): 1315-1328 (2007)
	2005
10		Sonya A. Coleman, Bryan W. Scotney, Madonna G. Herron: Content-adaptive feature extraction using image variance. Pattern Recognition 38(12): 2426-2436 (2005)
9		Bryan W. Scotney, Sonya A. Coleman, Madonna G. Herron: Direct feature detection on compressed images. Pattern Recognition Letters 26(15): 2336-2345 (2005)
	2004
8		Sonya A. Coleman, Bryan W. Scotney, Madonna G. Herron: A Systematic Design Procedure for Scalable Near-Circular Laplacian of Gaussian Operators. ICPR (1) 2004: 700-703
7		Bryan W. Scotney, Sonya A. Coleman, Madonna G. Herron: Improving angular error by near-circular operator design. Pattern Recognition 37(1): 169-172 (2004)
6		Sonya A. Coleman, Bryan W. Scotney, Madonna G. Herron: Adaptive application of feature detection operators based on image variance. Pattern Recognition 37(12): 2403-2406 (2004)
	2003
5		Sonya A. Coleman, Bryan W. Scotney, Madonna G. Herron: An empirical performance evaluation technique for discrete second derivative edge detectors. ICIAP 2003: 594-599
4		Bryan W. Scotney, Sonya A. Coleman, Madonna G. Herron: An evaluation of mesh model algorithms for direct feature detection on compressed image representations. ICIP (1) 2003: 685-688
	2002
3		Bryan W. Scotney, Sonya A. Coleman, Madonna G. Herron: Image feature detection on content-based meshes. ICIP (1) 2002: 844-847
2		Bryan W. Scotney, Sonya A. Coleman, Madonna G. Herron: Device Space Design for Efficient Scale-Space Edge Detection. International Conference on Computational Science (1) 2002: 1077-1086
	2001
1		Bryan W. Scotney, Sonya A. Coleman, Madonna G. Herron: A systematic design procedure for scalable near-circular Gaussian operators. ICIP (3) 2001: 844-847

Coauthor Index

1	Sonya A. Coleman	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11]
2	Bryan W. Scotney	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11]

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