Rectangle detection based on a windowed hough transform

Brazilian Symposium of Computer Graphic and Image Processing

Volumn , Issue , 2004, Pages 113-120

  Jung, Cláudio Rosito ^a   Schramm, Rodrigo ^a  

^a UNIVERSIDADE DO VALE DO RIO DOS SINOS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

CRYO-ELECTRON MICROSCOPY; RECTANGLE DETECTION; RECTANGULAR HOUGH TRANSFORM (RHT); WINDOWED HOUGH TRANSFORM;

COMPUTATIONAL COMPLEXITY; ELECTRON MICROSCOPY; HOUGH TRANSFORMS; IMAGE SEGMENTATION; PATTERN RECOGNITION; SCANNING;

IMAGE ANALYSIS;

EID: 16244421029     PISSN: 15301834     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIBGRA.2004.1352951     Document Type: Conference Paper

References (25)

1. D. Ballard. Generalizing the hough transform to detect arbitrary shapes. Pattern Recognition, 13(2):111-122, 1981.
2. J. Canny. A computational approach to edge detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 8:679-698, 1986.
3. R. Duda and P. Hart. Use of the hough transform to detect lines and curves in pictures. Communications of the ACM, 15(1):11-15, January 1972.
4. Y. Furukawa and Y. Shinagawa. Accurate and robust line segment extraction by analyzing distribution around peaks in hough space. Computer Vision and Image Understanding, 92(1):1-25, October 2003.
5. D.-S. Gao and J. Zhou. Car license plates detection from complex scene. In International Conference on Signal Processing, pages II: 1409-1414, 2000.
6. J. Illingworth and J. Kittler. A survey of the hough transform. Computer Vision Graphics and Image Processing, 44(1):87-116, October 1988.
7. C. Jaynes, A. Hanson, and E. Riseman. Building reconstruction from optical and range images. In Proceedings IEEE Conf. on Computer Vision and Pattern Recognition, pages 380-386, 1997.
8. C. Jaynes, A. Hanson, and E. Riseman. Recognition and reconstruction of buildings from multiple aerial images. Computer Vision and Image Understanding, 90:68-98, 2003.
9. N. Kiryati, Y. Eldar, and A. Bruckstein. A probabilistic hough transform. Pattern Recognition, 24(4):303-316, 1991.
10. D. Lagunovsky and S. Ablameyko. Straight-line-based primitive extraction in grey-scale object recognition. Pattern Recognition Letters, 20(10):1005-1014, October 1999.
11. V. Leavers. Survey: Which hough transform? Computer Vision Graphics and Image Processing, 58(2):250-264, September 1993.
12. C. Lin and R. Nevatia. Building detection and description from a single intensity image. Computer Vision and Image Understanding, 72(2):101-121, 1998.
13. J. Matas, C. Galambos, and J. Kittler. Robust detection of lines using the progressive probabilistic hough transform. Computer Vision and Image Understanding, 78(1):119-137, April 2000.
14. H. Moon, R. Chellappa, and A. Rosenfeld. Performance analysis of a simple vehicle detection algorithm. Image and Vision Computing, 20(1):1-13, January 2002.
15. S. Noronha and R. Nevatia. Detection and modeling of buildings from multiple aerial images. Pattern Analysis and Machine Intelligence, 23(5):501-518, 2001.
16. P. Palmer, J. Kittler, and M. Petrou. Using focus of attention with the hough transform for accurate line parameter-estimation. PR, 27(9):1127-1134, September 1994.
17. A. Rosenfeld and I. Weiss. A convex polygon is determined by its hough transform. Pattern Recognition Letters, 16(3):305-306, March 1995.
18. J. Scharcanski, C. R. Jung, and R. T. Clarke. Adaptive image denoising using scale and space consistency. IEEE Transactions on Image Processing, 11(9):1092-1101, 2002.
19. F. Shen and H. Wang. Corner detection based on modified hough transform. Pattern Recognition Letters, 23(8):1039-1049, June 2002.
20. W.-B. Tao, J.-W. Tian, and J. Liu. A new approach ot extract rectangle building from aerial urban images. In International Conference on Signal Processing, pages 143-146, 2002.
21. L. Xu, E. Oja, and P. Kultanen. A new curve detection method: Randomized hough transform (rht). Pattern Recognition Letters, 11(5):331-338, May 1990.
22. T. Zhao and R. Nevatia. Car detection in low resolution aerial images. In International Conference on Image Processing, pages I: 710-717, 2001.
23. Y. Zhu, Carragher, and C. Potter. Fast detection of generic biological particles in cryo-em images through efficient hough transforms. In International Symposium for Biomedical Imaging, pages 205-208, 2002.
24. Y. Zhu, B. Carragher, D. Kriegman, R. A. Milligan, and C. S. Potter. Automated identification of filaments in cryoelectron microscopy images. Journal of Structural Biology, 135(3):302-312, September 2001.
25. Y. Zhu, B. Carragher, F. Mouche, and C. Potter. Automatic particle detection through efficient hough transforms. IEEE Transactions on Medical Imaging, 22(9):1053-1062, September 2003.