e many local
istic grounds
s not exhibit
f preprocess-
in particular
re important
ar local edge
puter Vision,
, R.O., 1986,
pace filtering,
6), 726-741.
ough variable-
tors, CGIP, 8,
o edge detec-
n of an image
UT.
on techniques,
/.J.P.M., Van
of roads from
pp. 131-140.
model and 3D
ular TV frame
3.
ment of linear
ng, PAMI, 14
on of dynamic
on, CGIP, 17,
ifference edge
ondence algo-
al photogram-
-611.
‘eature extrac-
801, Springer,
segmentation,
images, Ph.D.
nent operators
-306.
n of gradient
(7), 682-696.
extraction by
abeling using
>-181.
/sis for digital
[25]
[26]
[27]
[28]
[29]
[30]
[31]
[32]
[33]
[34]
[35]
[36]
[37]
[38]
[39]
[40]
[41]
[42]
[43]
[44]
[45]
[46]
[47]
[48]
[49]
[50]
[51]
[52]
Haralick, R.M., 1984, Digital step edges from zero crossing
of second directional derivatives, PAMI, 6 (1), 58-68.
Haralick, R.M., Shapiro, L.G., 1985, Image segmentation
techniques: a survey, CVGIP, 29, 100-132.
Haralick, R.M., Watson, L., 1981, A facet model for image
data, CGIP, 15, 113-129.
Hildreth, E.C., 1983, The detection of intensity changes by
computer and biological vision systems, CVGIP, 22, 1-27.
Hueckel, M.H., 1973, A local visual operator which recognizes
edges and lines, J. Ass. for Computing Machinery, 20 (4),
634-647.
Illingworth, J., Kittler, J., 1988, A survey of the Hough trans-
form, CVGIP, 44, 87-116.
Khan, G.N., Gillies, D.F., 1992, Extracting contours by per-
ceptual grouping, IVC, 10 (2), 77-88.
Kirsch, R.A., 1971, Computer determination of the con-
stituent structure of biological images, Computers and
Biomedical Research, 4 (3), 315-328.
Lacroix, V., 1988, A three-module strategy for edge detec-
tion, PAMI, 10 (6), 803-810.
Lee, J.S.J., Haralick, R.M., Shapiro, L.G., 1987, Morphologic
edge detection, IEEE J. of Robotics and Automation, 3 (2),
142-156.
Lemmens, M.J.P.M., 1996, Structure-based edge detection,
Ph.D. Thesis, DUT, in preparation.
Lemmens, M.J.P.M., Meijers, P.J.M., Verwaal, R.G., 1990,
GIS-guided linear feature extraction, PRS, 28, 3/2, comm.
ill, 395-404.
Levialdi, S., 1981, Finding the edge, in: Digital Image Pro-
cessing, Reidel, 383-397.
Lin, C. Huertas, A., Nevatia, R., 1995, Detection of buildings
from monocular images, in: Automatic Extraction of Man-
Made Objects from Aerial and Space Images, Birkhauser,
125-134.
Lindeberg, T., 1990, Scale-space for discrete signals, PAMI,
12 (3), 234-254.
Liu, Z-Q., Rangayyan, R.M., Frank, C.B., 1991, Directional
analysis of images in scale space, PAMI, 13 (11), 1185-1192.
Lu, H.Q., Aggarwal, J.K., 1992, Applying perceptual orga-
nization to the detection of man-made objects in non-urban
scenes, PR, 25 (8), 835-853.
Lu, Y., Jain, R.C., 1992, Reasoning about edges in scale
space, PAMI, 14 (4), 450-468.
Lyvers, E.P., Mitchell, O.R., 1988, Precision edge contrast
and orientation estimation, PAMI, 10 (6), 927-937.
Marr, D., Hildreth, E., 1980, Theory of edge detection, Proc.
R. Soc. Lond., B 207, 187-217.
Martelli, A., 1976, An application of heuristic search methods
to edge and contour detection, Comm. of the ACM, 19 (2),
73-83.
McLean, G.F., Jernigan, M.E., 1988, Hierarchical edge de-
tection, CVGIP, 44, 350-366.
Mohan, R., Nevatia, R., 1992, Perceptual organization for
scene segmentation and description, PAMI, 14 (6), 616-635.
Montanari, U., 1971, On the optimal detection of curves in
noisy pictures, Comm. of the ACM, 14 (5), 335-345.
Nalwa, V.S., Binford, T.O., 1986, On detecting edges, PAMI,
8 (6), 699-714.
Nevatia, R., 1982, Machine Perception, Prentice Hall.
O'Gorman, F., 1978, Edge detection using Walsh functions,
Artificial Intelligence, 10, 215-223.
Pal, N.R., Pal, S.K., 1993, A review on image segmentation
techniques, PR, 26, 1277-1294.
[53]
[54]
[55]
[56]
[57]
[58]
[59]
[60]
[61]
[62]
[63]
[64]
[65]
[66]
[67]
[68]
[69]
[70]
Peleg, S., 1980, A new probabilistic relaxation scheme, PAMI,
2 (4), 362-369.
Peli, T., Malah, D., 1982, A study of edge detection algo-
rithms, CGIP, 20, 1-21.
Perona, P., Malik, J., 1990, Scale-space and edge detection
using anisotropic diffusion, PAMI, 12 (7), 629-639.
Petrou, M., Kittler, J., 1991, Optimal edge detectors for
ramp edges, PAMI, 13 (5), 483-491.
Prager, J.M., 1980, Extracting and labeling boundary seg-
ments in natural scenes, PAMI, 2 (1), 16-26.
Pratt, W.K. 1991, Digital Image Processing, Wiley.
Prewitt, J.M.S., 1970 Object enhancement and extraction,
in: Picture Processing and Psychopictorics, AP, 75-149.
Price, K., Huertas, À., 1992, Using perceptual grouping to
detect objects in aerial scenes, PRS, 29-111, 842-855.
Robinson, G.S., 1977, Edge detection by compass gradient
masks, CGIP, 6, 492-501.
Rosenfeld, A., Kak, A.C., 1982, Digital picture processing,
AP.
Schachter, B.J., Lev, A., Zucker, S.W., Rosenfeld, A., 1977,
An application of relaxation methods to edge reinforcement,
IEEE Trans. on Systems, Man, and Cybernetics, 7 (11), 813-
816.
Sonka, M., Hlavac, V., Boyle, R., 1993, Image processing,
analysis and machine vision, Chapman & Hall.
Tan, C.L., Loh, S.K.K., 1993, Efficient edge detection using
hierarchical structures, PR, 26 (1), 127-135.
Torre, V., Poggio, T.A., 1986, On edge detection, PAMI, 8
(2), 147-163.
Van Vliet, L.J., Young, Il. T., Beckers, G.L., 1989, A nonlinear
laplace operator as edge detector in noisy images, CVGIP, 45,
167-195.
Witkin, A.P., 1983, Scale-space filtering, in: Proc. 8th Int.
Conf. Artificial Intelligence, Morgan Kaufmann, pp. 1019-
1022.
Witkin, A.D., Tenenbaum, J.M., 1986, On perceptual orga-
nization, in: From Pixels to Predicates, Ablex, 149-169.
Zuerndorfer, B., Wakefield, G.H., Extensions of scale-space
filtering to machine-sensing systems, PAMI, 12 (9), 868-882.
Used Abbreviations in Reference List
AP: Academic Press
CGIP: Computer Graphics and Image Processing
CV: Int. Journal of Computer Vision
CVGIP: Computer Vision, Graphics
DUT: Delft University of Technology
IVC: Image and Vision Computing
PAMI: IEEE Trans. on Pattern Analysis and
Machine Intelligence
PR: Pattern Recognition
PRS: Int. Arch. of Photogramm. and Remote Sens.
and Image Processing
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B3. Vienna 1996
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