Extraction of curved lines from images

Proceedings - International Conference on Pattern Recognition

Volumn 2, Issue , 1996, Pages 251-255

  Steger, Carsten ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

SOFTWARE ENGINEERING;

CURVILINEAR STRUCTURES; GAUSSIAN SMOOTHING; GEOMETRIC PROPERTIES; IMAGE FUNCTIONS; LINE POSITIONS; SUBPIXEL ACCURACY; TAYLOR POLYNOMIALS; VANISHING GRADIENT;

PATTERN RECOGNITION;

EID: 0001162360     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.1996.546827     Document Type: Conference Paper

References (9)

1. A. Busch. Fast recognition of lines in digital images without user-supplied parameters. In H. Ebner, C. Heipke, and K. Eder, editors, Spatial Information from Digital Photogram-metry and Computer Vision, volume 30, part 3/1 of International Archives of Photogrammetry and Remote Sensing, pages 91-97, 1994.
2. M. A. Fischler. The perception of linear structure: A generic linker. In Image Understanding Workshop, pages 1565-1579, San Francisco, CA, USA, 1994. Morgan Kaufmann Publishers.
3. M. A. Fischler, J. M. Tenenbaum, and H. C. Wolf. Detection of roads and linear structures in low-resolution aerial imagery using a multisource knowledge integration technique. Computer Graphics and Image Processing, 15:201-223, 1981.
4. F. Glazer. Curve finding by ridge detection and grouping. In W. Kropatsch and H. Bischof, editors, Mustererkennung, In-formatik Xpress 5, pages 109-116. Deutsche Arbeitsgemein-schaft fur Mustererkennung, 1994.
5. R. M. Haralick, L. T. Watson, and T. J. Laffey. The topographic primal sketch. International Journal of Robotics Research, 2(1):50-72, 1983.
6. B. Jedynak and J.-R Roze. Tracking roads in satellite images by playing twenty questions. In A. Gruen, O. Kuebler, and P. Agouris, editors, Automatic Extraction of Man-Made Objects from Aerial and Space Images, pages 243-253, Basel, Switzerland, 1995. Birkhauser Verlag.
7. T. M. Roller, G. Ceng, G. Szekely, and D. Dettwiler. Multi-scale detection of curvilinear structures in 2-d and 3-d image data. In Fifth International Conference on Computer Vision, pages 864-869. IEEE Computer Society Press, 1995.
8. C. Steger. Extracting curvilinear structures: A differential geometric approach. In B. Buxton and R. Cipolla, editors. Fourth European Conference on Computer Vision, volume 1064 of Lecture Notes in Computer Science, pages 630-641. Springer-Verlag, 1996.
9. J. B. Subirana-Vilanova and K. K. Sung. Multi-scale vector-ridge- detection for perceptual organization without edges. A.I. Memo 1318. MIT Artificial Intelligence Laboratory, Cambridge, MA, USA, Dec. 1992.