Lozano-Perez, T.[Tomas],
Parsing Intensity Profiles,
CGIP(6), No. 1, February 1977, pp. 43-60.
Elsevier DOI PROPAR, analysis of 1-D profiles.
BibRef
7702
Brooks, M.J.,
Rationalizing Edge Detectors,
CGIP(8), No. 2, October 1978, pp. 277-285.
Elsevier DOI Analysis of early operators like Roberts (
See also Machine Perception of 3-D Solids. ) and Prewitt
(
See also Object Enhancement and Extraction. ).
BibRef
7810
Krueger, W.M.,
Phillips, K.,
The Geometry of Differential Operators with Application to
Image Processing,
PAMI(11), No. 12, December 1989, pp. 1252-1264.
IEEE DOI Discuss a family of differential operators that can be used to
build edge detectors such as that of Canny.
BibRef
8912
Leclerc, Y.G.,
Zucker, S.W.,
The Local Structure of Image Discontinuities in One Dimension,
PAMI(9), No. 3, May 1987, pp. 341-355.
BibRef
8705
Earlier:
ICPR84(46-48).
Over kill on the 1-D edge case. Maybe if the method is expanded
to 2-D there can be something here.
For 2-d:
See also Capturing the Local Structure of Image Discontinuities in Two Dimensions.
BibRef
Leclerc, Y.G.,
The Local Structure of Image Intensity Discontinuities,
Ph.D.Thesis, McGill University, Montréal, Québec, Canada, May 1989.
BibRef
8905
Torre, V.[Vincent],
Poggio, T.A.,
On Edge Detection,
PAMI(8), No. 2, March 1986, pp. 147-163.
BibRef
8603
Earlier:
MIT AI Memo-768, August 1984.
Billed as the first of "many" papers on edge detection.
Analysis of 5 edge detectors --
See also Binford-Horn Line Finder, The.
See also Optimal Frequency Domain Filter for Edge Detection in Digital Pictures, An.
See also Theory of Edge Detection.
See also Edge and Region Analysis for Digital Image Data. and
See also Computational Approach to Edge Detection, A.
BibRef
Marr, D.[David],
Ullman, S.,
Directional Selectivity and its Use in Early Visual Processing,
RoyalP(B-211), 1981, pp. 151-180.
BibRef
8100
Earlier:
MIT AI Memo-524, June 1979.
Edges, History. One of the edge detection papers.
See also Early Processing of Visual Information.
BibRef
Marr, D.,
The Low-level Symbolic Representation of Intensity Changes in an Image,
MIT AI Memo-325, December 1974.
WWW Link.
BibRef
7412
Marr, D.,
The Recognition of Sharp, Closely Spaced Edges,
MIT AI Memo-326, December 1974.
WWW Link.
BibRef
7412
Marr, D.,
Visual Information Processing:
The Structure and Creation of Visual Representations,
Royal(B-290), 1980, pp. 199-218.
BibRef
8000
McCafferty, J.D.,
Fryer, R.J.,
Codutti, S.,
Miller, J.,
Monai, G.,
Edge-Detection Algorithm and Its Video-Rate Implementation,
IVC(5), No. 2, May 1987, pp. 155-160.
Elsevier DOI
BibRef
8705
Yu, T.H.,
Mitra, S.K.,
Efficient Approach for the Detection of Diffuse Edges,
OptEng(35), No. 12, December 1996, pp. 3522-3530.
9701
BibRef
Gokmen, M.[Muhittin],
Jain, A.K.[Anil K.],
Lambda-Tau-Space Representation of Images and Generalized Edge Detector,
PAMI(19), No. 6, June 1997, pp. 545-563.
IEEE DOI
9708
BibRef
Earlier:
CVPR96(764-769).
IEEE DOI
Scale Space. Tau is the shape of the detector, Lambda is the size. This formulation
encompasses many existing detectors. Generate a class of detectors by
changing the two variables.
BibRef
Kurt, B.,
Gokmen, M.,
Two dimensional generalized edge detector,
CIAP99(148-153).
IEEE DOI
9909
BibRef
Bell, A.J.,
Sejnowski, T.J.,
The 'independent components' of natural scenes are edge filters,
Vision Research(37), No. 23, 1997, pp. 3327.
BibRef
9700
Wang, G.[Guoxia],
Wang, X.C.[Xiao-Chuan],
Li, F.W.B.[Frederick W. B.],
Liang, X.H.[Xiao-Hui],
DOOBNet: Deep Object Occlusion Boundary Detection from an Image,
ACCV18(VI:686-702).
Springer DOI
1906
BibRef
Stein, A.[Andrew],
Occlusion Boundaries: Low-Level Detection to High-Level Reasoning,
CMU-RI-TR-08-06, May, 2008.
BibRef
0805
Ph.D.Thesis, May, 2008.
WWW Link.
BibRef
Newsam, G.N.,
Edge and line detection as exercises in hypothesis testing,
ICIP04(IV: 2685-2688).
IEEE DOI
0505
BibRef
Androutsos, P.,
Androutsos, D.,
Plataniotis, K.N.[Konstantinos N.],
Venetsanopoulos, A.N.,
Subjective analysis of edge detectors in color image processing,
CIAP97(I: 119-126).
Springer DOI
9709
BibRef
Toh, P.S.,
Forrest, A.K.,
Occlusion Detection in Early Vision,
ICCV90(126-132).
IEEE DOI
BibRef
9000
Chapter on Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform continues in
Basic Edges, Gradient Computations .