Hashimoto, M.,
Sklansky, J.,
Multiple-Order Derivatives for Detecting Local Image Characteristics,
CVGIP( 39), No. 1, July 1987, pp. 28-55.
WWW Version.
BibRef
8707
Earlier:
Edge Detection by Estimation of Multiple-Order Derivatives,
CVPR83(318-325).
See also Gestalt-Guided Boundary Follower for X-Ray Images of Lung Nodules, A.
BibRef
Meer, P.,
Weiss, I.,
Smoothed Differentiation Filters for Images,
JVCIR(3), 1992, pp. 58-72.
BibRef
9200
Earlier:
ICPR90(II: 121-126).
IEEE DOI Link
BibRef
Weiss, I.,
High-Order Differentiation Filters That Work,
PAMI(16), No. 7, July 1994, pp. 734-739.
IEEE Abstract. IEEE Top Reference.
WWW Version.
Differentiation Filter.
BibRef
9407
Rohr, K.,
On 3D Differential-Operators for Detecting Point Landmarks,
IVC(15), No. 3, March 1997, pp. 219-233.
WWW Version.
9704
BibRef
Dema, S.,
Li, B.C.,
Derivative Computation By Multiscale Filters,
IVC(16), No. 1, January 30 1998, pp. 43-53.
WWW Version.
9803
BibRef
Mota, C., and
Barth, E.,
On the Uniqueness of Curvature Features,
Proc. in AI(9), 2000, (Dynamische Perzeption), Infix Verlag, pp. 175-178.
PDF Version.
BibRef
0001
Farid, H.[Hany],
Simoncelli, E.P.[Eero P.],
Optimally Rotation-Equivariant Directional Derivative Kernels,
CAIP97(207-214).
WWW Version.
WWW Version. And full paper:
Postscript Version.
9709
Steerable Filter. Kernels for feature descriptions.
BibRef
Simoncelli, E.P.,
Design of Multi-Dimensional Derivative Filters,
ICIP94(I: 790-794).
IEEE DOI Link
9411
Differentiation Filter, Rotation invariance.
HTML Version. And
Postscript Version.
Steerable Filter.
BibRef
Knutsson, H., and
Westin, C.F.,
Normalized and Differential Convolution,
CVPR93(515-523).
IEEE Abstract. IEEE Top Reference.
BibRef
9300
Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Median Filtering .