Accurate centerline detection and line width estimation of thick lines using the radon transform

IEEE Transactions on Image Processing

Volumn 16, Issue 2, 2007, Pages 310-316

  Zhang, Qiaoping ^a,b   Couloigner, Isabelle ^a  

^a UNIVERSITY OF CALGARY   (Canada)

^b Intermap Technologies Corp   (Canada)

Author keywords

Image line pattern analysis; Object detection; Radon transforms; Remote sensing

Indexed keywords

BOUNDARY VALUE PROBLEMS; FEATURE EXTRACTION; OBJECT RECOGNITION; REMOTE SENSING;

CENTERLINE DETECTION; LINE WIDTH ESTIMATION; RADON TRANSFORM;

COMPUTER VISION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33847748235     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2006.887731     Document Type: Article

References (14)

1. P. Toft, "The Radon Transform - Theory and Implementation," Ph.D. dissertation, Dept. Math. Model., Tech. Univ. Denmark, Lyngby, 1996.
2. L. M. Murphy, "Linear feature detection and enhancement in noisy images via the Radon transform," Pattern Recognit. Lett., vol. 4, pp. 279-284, 1986.
3. A. C. Copeland, G. Ravichandran, and M. M. Trivedi, "Localized Radon transform-based detection of ship wakes in SAR images," IEEE Trans Geosci. Remote Sens., vol. 33, no. 1, pp. 35-45, Jan. 1995.
4. G. Du and T. S. Yeo, "A novel Radon transform-based method for ship wake detection," in Proc. IEEE Int. Conf. Geoscience and Remote Sensing Symp., Anchorage, AK, Sep. 20-24, 2004, pp. 3069-3072.
5. G. Zilman, A. Zapolski, and M. Marom, "The speed and beam of a ship from its wake's SAR images," IEEE Trans Geosci. Remote Sens., vol. 42, no. 10, pp. 2335-2343, Oct. 2004.
6. S. P. Clode, E. E. Zelniker, P. J. Kootsookos, and I. V. L. Clarkson, "A phase coded disk approach to thick curvilinear line detection," in Proc. 7th Eur. Signal Processing Conf., Vienna, Austria, Sep. 6-10, 2004, pp. 1147-1150.
7. D. Manandhar and R. Shibasaki, "Extraction of linear features from vehicle-borne laser data," presented at the 23rd Asian Conf. Remote Sensing, Kathmandu, Nepal, Nov. 25-29, 2002.
8. Radon Transform, Image Processing Toolbox User's Guide, Matlab Help Document. Natick, MA: MathWorks, Inc., 2005.
9. A. Gruen and H. Li, "Semi-automatic linear feature extraction by dynamic programming and LSB-snakes," Photogramm. Eng. Remote Sens., vol. 63, no. 8, pp. 985-995, 1997.
10. X. Hu, Z. Zhang, and C. V. Tao, "A robust method for semi-automatic extraction of road centerlines using a piecewise parabolic model and least square template matching," Photogramm. Eng. Remote Sens., vol. 70, no. 12, pp. 1393-1398, Dec. 2004.
11. J. Wang and Q. Zhang, "Applicability of a gradient profile algorithm for road network extraction-sensor, resolution and background considerations," Canad. J. Remote Sens., vol. 26, no. 5, pp. 428-439, 2000.
12. X. Hu and C. Tao, "Areliable and fast ribbon road detector using profile analysis and model-based verification," Int. J. Remote Sens., vol. 26, no. 5, pp. 887-902, 2005.
13. M. Song and D. Civco, "Road extraction using SVM and image segmentation," Photogramm. Eng. Remote Sens., vol. 70, no. 12, pp. 1365-1371, Dec. 2004.
14. Q. Zhang and I. Couloigner, "Benefit of the angular texture signature for the separation of parking lots and roads on high resolution multi-spectral imagery," Pattern Recognit. Lett., vol. 27, no. 9, pp. 937-946, 2006.