A parameterless line segment and elliptical arc detector with enhanced ellipse fitting

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7573 LNCS, Issue PART 2, 2012, Pages 572-585

  Pǎtrǎucean, Viorica ^a,b   Gurdjos, Pierre ^a   Von Gioi, Rafael Grompone ^c  

^a IRIT   (France)

^b MILITARY TECHNICAL ACADEMY   (Romania)

^c Inserm   (France)

Author keywords

a contrario approach; ellipse detection; ellipse fitting

Indexed keywords

A CONTRARIO APPROACH; COMPUTER-GENERATED IMAGES; ELLIPSE DETECTION; ELLIPSE FITTING; FALSE POSITIVE; GRADIENT ORIENTATIONS; LINE SEGMENT; NATURAL IMAGES; NON-ITERATIVE; PARAMETER-TUNING;

DETECTORS; ITERATIVE METHODS;

COMPUTER VISION;

EID: 84867843629     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33709-3_41     Document Type: Conference Paper

References (21)

1. Canny, J.: A computational approach to edge detection. PAMI 8, 679-698 (1986)
2. Chia, A., Rahardja, S., Rajan, D., Leung, M.K.: A split and merge based ellipse detector with self-correcting capability. TIP 20, 1991-2006 (2011)
3. Desolneux, A., Moisan, L., Morel, J.M.: From Gestalt Theory to Image Analysis: A Probabilistic Approach. Springer (2008)
4. Duda, R., Hart, P., Stork, D.: Pattern classification, 2nd edn. John Wiley & Sons (2001)
5. Etemadi, A.: Robust segmentation of edge data. In: Int. Conf. on Image Processing and its Applications, pp. 311-314 (1992)
6. Fitzgibbon, A., Pilu, M., Fisher, R.: Direct least-squares fitting of ellipses. PAMI 21, 476-480 (1999)
7. Forstner, W., Gulch, E.: A fast operator for detection and precise location of distinct points, corners and centres of circular features. In: Intercom. Conf. on Fast Processing of Photogrammetric Data, pp. 281-305 (1987)
8. Grompone von Gioi, R., Jakubowicz, J., Morel, J.M., Randall, G.: LSD: A fast line segment detector with a false detection control. PAMI 32, 722-732 (2010)
9. Guennebaud, G., Gross, M.: Algebraic point set surfaces. ACM Trans. Graph. 26, 231-239 (2007)
10. Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision. 2nd edn. Cambridge University Press (2004)
11. Hough, P.: Method and means for recognizing complex patterns. U.S. Patent 3069654 (1962)
12. Lowe, D.G.: Perceptual Organization and Visual Recognition. Kluwer Academic Publishers (1985)
13. Mai, F., Hung, Y.S., Zhong, H., Sze, W.F.: A hierarchical approach for fast and robust ellipse extraction. Pattern Recognition 41, 2512-2524 (2008)
14. Matas, J., Galambos, C., Kittler, J.: Progressive probabilistic hough transform. In: BMVC, pp. 256-265 (1998)
15. Ouellet, J., Hebert, P.: Precise ellipse estimation without contour point extraction. Machine Vision and Applications 21, 59-67 (2009)
16. Pǎtrǎucean, V.: Detection and identification of elliptical structure arrangements in images: Theory and algorithms. PhD thesis. University of Toulouse, France, http://ethesis.inp-toulouse.fr/archive/00001847/
17. Rosin, P.L.: Ellipse fitting using orthogonal hyperbolae and Stirling's oval. Graphical Models and Image Processing 60, 209-213 (1998)
18. Stewart, C.V.: MINPRAN: A new robust estimator for computer vision. PAMI 17, 925-938 (1995)
19. Taubin, G.: Estimation of planar curves, surfaces, and nonplanar space curves defined by implicit equations with applications to edge and range image segmentation. PAMI 13, 1115-1138 (1991)
20. West, G., Rosin, P.: Multi-stage combined ellipse and line detection. In: BMVC, pp. 197-206 (1992)
21. Xu, L., Oja, E., Kultanen, P.: A new curve detection method: Randomized Hough Transform. Pattern Recogn. Lett. 11, 331-338 (1990)