Edge drawing: A heuristic approach to robust real-time edge detection

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2010, Pages 2424-2427

  Topal, Cihan ^a   Akinlar, Cüneyt ^a   Genç, Yakup ^b  

^a ANADOLU UNIVERSITY   (Turkey)

^b SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANCHOR POINT; CANNY EDGE DETECTORS; EDGE DETECTION ALGORITHMS; EDGE DETECTORS; EDGE POINT; HEURISTIC APPROACH; PERFORMANCE TESTS; REAL-TIME IMAGE PROCESSING;

ALGORITHMS; COMPUTER APPLICATIONS; COMPUTER VISION; DETECTORS; HEURISTIC METHODS; SIGNAL DETECTION;

EDGE DETECTION;

EID: 78149474134     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.593     Document Type: Conference Paper

References (18)

1. L. G. Roberts, "Machine Perception of Three-Dimensional Solids," Optical and Electro-Optical Information Processing, J. T. Tippett, D. A. Berkowitz, L. C. Clapp, C. J. Koester, and A. Vanderburgh, Jr., eds., pp. 159-197. Cambridge, Mass.: MIT Press, 1965.
2. I. E. Sobel, Camera Models and Machine Perception, PhD thesis, Stanford Univ., 1970.
3. K. L. Boyer and S. Sarkar, "Assessing the State of the Art in Edge Detection: 1992," SPIE, vol. 1,708, Applications of Artificial Intelligence X: Machine Vision and Robotics, pp. 353-362, 1992.
4. V. S. Nalwa and T. O. Binford, "On Detecting Edges," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 8, no. 6, pp. 699-714, Nov. 1986.
5. J. Canny, "A Computational Approach to Edge Detection," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 8, no. 6, pp. 679-698, Nov. 1986.
6. S. Sarkar and K. L. Boyer, "Optimal Infinite Impulse Response Zero Crossing Based Edge Detectors," Computer Vision, Graphics, and Image Processing: Image Understanding, vol. 54, pp. 224-243, Sept. 1991.
7. L. A. Iverson and S.W. Zucker, "Logical/Linear Operators for Image Curves," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 17, no. 10, pp. 982-996, Oct. 1995.
8. F. Bergholm, "Edge Focusing," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 9, no. 6, pp. 726-741, Nov. 1987.
9. C. A. Rothwell, J. L. Mundy, W. Hoffman, and V.-D. Nguyen, "Driving Vision by Topology," Int'l Symp. Computer Vision, pp. 395-400, Coral Gables, Fla., Nov. 1995.
10. I. E. Abdou and W. K. Pratt, "Quantitative Design and Evaluation of Enhancement/Thresholding Edge Detectors," Proc. IEEE, vol. 67, no. 5, pp. 753-763, May 1979.
11. V. Ramesh and R. M. Haralick, "Performance Characterization of Edge Detectors," SPIE, vol. 1,708, Applications of Artificial Intelligence X: Machine Vision and Robotics, pp. 252-266, 1992.
12. J. R. Fram and E. S. Deutsch, "On the Quantitative Evaluation of Edge Detection Schemes and Their Comparison With Human Performance," IEEE Trans. Computers, vol. 24, no. 6, pp. 616-628, June 1975.
13. D. J. Bryant and D. W. Bouldin, "Evaluation of Edge Operators Using Relative and Absolute Grading," Proc. IEEE Computer Society Conf. Pattern Recognition and Image Processing, pp. 138-145, Chicago, 1979.
14. R. N. Strickland and D. K. Cheng, "Adaptable Edge Quality Metric," Optical Eng., vol. 32, no. 5, pp. 944-951, May 1993.
15. X. Y. Jiang, A. Hoover, G. Jean-Baptiste, D. Goldgof, K. Bowyer, and H. Bunke, "A Methodology for Evaluating Edge Detection Techniques for Range Images," Proc. Asian Conf. Computer Vision, pp. 415-419, 1995.
16. T. Kanungo, M. Y. Jaisimha, J. Palmer, and R. M. Haralick, "A Methodology for Quantitative Performance Evaluation of Detection Algorithms," IEEE Trans. Image Processing, vol. 4, no. 12, pp. 1,667-1,674, Dec. 1995.
17. OpenCV - http://opencv.willowgarage.com/
18. Samples of the edge drawing method is available at http://www.mm.anadolu. edu.tr/edgedrawing