Abstract
A modified Hough transform has been proposed for grouping of image feature-carriers. The method has adjustable parameters, which are used in grouping and adding of missing image feature-carriers (due to registration noise). The adding of missing image features is based on performing of the secondary Hough-transform over the small window, in order to increase of transform resolution. The article contains of the research results addressing the influence of the method parameters on grouping of image features of real images.
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References
Ballard DH, Brown CM (1982) Computer Vision. Prentice Hall, New Jersey
Chutatape O, Guo L (1999) A modified Hough Transform for Line Detection and Its Performance. Pattern Recognition 32:181–192
Conker R (1988) A Dual Plane Variation of the Hough Transform for Detecting Non-concentric Circles of Different Radii. Computer Vision, Graphics and Image Processing 43:115–132
Gonzales RC, Woods RE (1992) Digital Image Processing. Addison Wesley
Guil N, Zapata EL (1997) Lower Order Circle and Ellipse Hough Transform. Pattern Recognition 30:10:1729–1744
Haralick R (1983) Ridges and Valleys on Digital Images. Computer Vision, Graphics and Image Processing 22:28–38
Hough PVC (1962) Method and Means for Recognizing Complex Patterns. US Patent 3069654
Kasinski A (1997) Smoothing Noisy Images without Destroying Predefined Feature Carriers. Computer Analysis of Images and Patterns, Proc. 7th International Conference Computer Analysis of Images and Patterns CAIP’97 Kiel, Germany, Springer, Berlin Heidelberg 519–526
Kasinski A, Przybylski L (1999) Segmention of Topographical Image Features. Control and Information Engineering Research 24:105–120 (in Polish)
Kasinski A, Przybylski L (2001) Using Perceptual Labels for Topographical Features in Scene Recognition. National Conference KOSYR 2001:395–400
Kasinski A, Przybylski L (2003) Grouping Based on Perceptual Labels in Topographical Analysis of the Image Function. Journal of Applied Computer Science 11:2:41–53
Medioni G, Lee M, Tang Ch (2000) A computational Framework for Segmentation and Grouping, Elsevier
Xu L, Oja E (1993) Randomized Hough Transform (RHT): Basic Mechanisms, Algorithms, and Computational Complexities. Computer Vision, Graphics and Image Processing: Image Understandig 57:2:131–154
Zhang Y, Webber R (1996) A Windowing Approach to Detecting Line Segments Using Hough Transform. Pattern Recognition 29:2:255–265
Forsyth DA, Ponce J (2003) Computer Vision. A Modern Approach. Prentice Hall, New Jersey
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© 2005 Springer-Verlag Berlin Heidelberg
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Przybylski, L. (2005). Using Modified Hough Transform for Grouping of Image Features. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_49
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DOI: https://doi.org/10.1007/3-540-32390-2_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25054-8
Online ISBN: 978-3-540-32390-7
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