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A goal for future research is to combine line and edge extraction into a single operator. This is useful for applications that
require lines as well as edges as low-level primitives. By extracting both types of features simultaneously, the description
of a scene will be simplified since edges corresponding to lines are not returned as edges anymore, but instead are included
in the line width. Thus, a later reasoning step can be simplified since it will not have to sort out the edges that correspond
to lines.
REFERENCES
Armande, N. and Montesinos, P., 1999. Thin nets extraction using a multi-scale approach. Computer Vision and Image
Understanding 73(2), pp. 248-257.
Baumgartner, A., Steger, C., Mayer, H., Eckstein, W. and Ebner, H., 1999. Automatic road extraction based on multi-scale,
grouping, and context. Photogrammetric Engineering & Remote Sensing 65(7), pp. 777-785.
Berzins, V., 1984. Accuracy of Laplacian edge detectors. Computer Vision, Graphics, and Image Processing 27, pp. 195-
210.
Bignone, E, Henricsson, O., Fua, P. and Stricker, M., 1996. Automatic extraction of generic house roofs from high
resolution aerial imagery. In: B. Buxton and R. Cipolla (eds), Fourth European Conference on Computer Vision, Lecture
Notes in Computer Science, Vol. 1064, Springer-Verlag, Berlin, pp. 85-96.
Busch, A., 1996. A common framework for the extraction of lines and edges. In: International Archives of Photogram-
metry and Remote Sensing, Vol. XXXI, part B3, pp. 88-93.
Canny, J., 1986. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine
Intelligence 8(6), pp. 679—698. :
Chen, J. S. and Medioni, G., 1989. Detection, localization, and estimation of edges. IEEE Transactions on Pattern
Analysis and Machine Intelligence 11(2), pp. 191-198.
Cumani, A., 1991. Edge detection in multispectral images. Computer Vision, Graphics, and Image Processing: Graphical
Models and Image Processing 53(1), pp. 40-51.
de Micheli, E., Caprile, B., Ottonello, P. and Torre, V., 1989. Localization and noise in edge detection. IEEE Transactions
on Pattern Analysis and Machine Intelligence 11(10), pp. 1106-1117.
Deriche, R., 1987. Using Canny's criteria to derive a recursively implemented optimal edge detector. International Journal
of Computer Vision 1, pp. 167-187.
Di Zenzo, S., 1986. A note on the gradient of a multi-image. Computer Vision, Graphics, and Image Processing 33,
pp. 116-125.
Dougherty, S. and Bowyer, K. W., 1998. Objective evaluation of edge detectors using a formally defined framework. In:
K. J. Bowyer and P. J. Phillips (eds), Empirical Evaluation Methods in Computer Vision, IEEE Computer Society Press,
Los Alamitos, CA, pp. 211—234.
Eberly, D., Gardner, R., Morse, B., Pizer, S. and Scharlach, C., 1994. Ridges for image analysis. Journal of Mathematical
Imaging and Vision 4, pp. 353-373.
Fischer, A, Kolbe, T. H. and Lang, F., 1997. Integration of 2d and 3d reasoning for building reconstruction using a
generic hierarchical model. In: W. Fórstner and L. Plümer (eds), Semantic Modeling for the Acquisition of Topographic
Information from Images and Maps, Birkháuser Verlag, Basel, pp. 159-180.
Fórstner, W., 1994. A framework for low level feature extraction. In: J.-O. Eklundh (ed.), Third European Conference on
Computer Vision, Lecture Notes in Computer Science, Vol. 801, Springer-Verlag, Berlin, pp. 383-394.
Fritsch, D. and Sester, M., 1994. Test on image understanding. In: International Archives of Photogrammetry and Remote
Sensing, Vol. XXX, part 3/1, pp. 243-248.
Fuchs, C., 1998. Extraktion polymorpher Bildstrukturen und ihre topologische und geometrische Gruppierung. Reihe C,
No. 502, Deutsche Geodätische Kommission, München.
Haralick, R. M., 1984. Digital step edges from zero crossings of second directional derivatives. IEEE Transactions on
Pattern Analysis and Machine Intelligence 6(1), pp. 58—68.
Heitger, F., 1995. Feature detection using suppression and enhancement. Technical Report TR-163, Communication
Technology Laboratory, ETH Zürich, Switzerland.
International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B3. Amsterdam 2000. 155