Abstract
This paper presents a problem of 3D images decomposition into spheres. The presented method is based on a fast Hough transform with an input image space division. An essential element of this method is the use of a clustering technique for partial data sets. The method simplifies the application of Hough transform to segmentation tasks as well as accelerates calculations considerably.
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References
Bandera, A., Perez-Lorenzo, J.M., Bandera, J.P., Sandoval, F.: Mean shift based clustering of Hough domain for fast line segment detection. PRL (27) (6), 578–586 (2006)
Deans, S.R.: Hough transform from the Radon transform. IEEE Transactions on Pattern Analysis and Machine Intelligence 3(2), 185–188 (1981)
Hough, P.V.C.: Method and means for recognizing complex patterns. U.S. Patent 3,069,654 (December 18, 1962)
Illingworth, J., Kittler, J.: A survey of the Hough Transform. Computer Vision, Graphics and Image Processing 44, 87–116 (1988)
Leavers, V.F.: Shape Detection in Computer Vision Using the Hough Transform. Springer, London (1992)
Li, H., Lavin, M.A., LeMaster, R.J.: Fast Hough transform: a hierarchical approach. Computer Vision, Graphics, and Image Processing 36, 139–161 (1986)
Palmer, P.L., Kittler, J.V., Petrou, M.: An Optimizing Line Finder Using a Hough Transform Algorithm. CVIU (67), (1) 1–23 (1997)
Radon, J.: Uber die Bestimmung von Funktionen durch ihre Integralwerte langs gewisser Mannigfaltigkeiten. Berichte Sachsische Akademie der Wissenschaften Leipzig, Math. Phys. Kl. 69, 262–267 (1917)
Tou, J.T., Gonzalez, R.C.: Pattern recognition principles. Addison-Wesley Publishing Company, London (1974)
Zorski, W.: Application of the Hough transform with a clustering technique to segmentation of digital images. Machine Graphics & Vision 5, 111–121 (1996)
Zorski, W.: The Hough Transform Application Including Its Hardware Implementation. In: Blanc-Talon, J., Philips, W., Popescu, D.C., Scheunders, P. (eds.) ACIVS 2005. LNCS, vol. 3708, pp. 460–467. Springer, Heidelberg (2005)
Zorski, W., Foxon, B., Blackledge, J., Turner, M.: Irregular Pattern Recognition Using the Hough transform. Machine Graphics & Vision 9, 609–632 (2000)
Zorski, W., Foxon, B., Blackledge, J., Turner, M.: Application of the Circle Hough Transform with a Clustering Technique to Segmentation. In: Image Processing II, pp. 339–348. Horwood Publishing, England (2000)
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Zorski, W. (2006). Fast Hough Transform Based on 3D Image Space Division. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2006. Lecture Notes in Computer Science, vol 4179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11864349_97
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DOI: https://doi.org/10.1007/11864349_97
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44630-9
Online ISBN: 978-3-540-44632-3
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