Abstract
Texture segmentation has long been a challenging task in computer vision. In this paper, we propose an algorithm which segments a structural texture image into homogenous regions. The algorithm is an integration of the Voronoi polygon tessellation and irregular pyramid segmentation techniques. In this paper, both the algorithm and the experimental results are explained in details.
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References
Aurenhammer F.(1991). Voronoi Diagrams-A Survey of a Fundamental Geometric Data Structure. ACM Computing Surveys, Vol. 23, No. 3.
Ballard D.H. and C.M.Brown (1982), P. 166–170, “Computer Vision”, Prentice-Hall.
Brodatz P. (1966). Texture: A Photographic Album for Artists and Designers. New York: Dover.
Burt P.J., T.H. Hong, and A. Rosenfeld (1981). Segmentation and Estimation of Image Region Properties Through Cooperative Hierarchical Computation. IEEE Trans. on Systems, Man and Cybernetic, Vol. SMC-11, No.12.
Cantoni V. and S. Levialdi (1986). Pyramidal Systems for Computer Vision, Springer-Verlag.
Cibulskis J. and C.R.Dyer (1984). Node Linking strategies in pyramids for segmentation. In Multiresolution Image Processing and Analysis, A. Rosenfeld, Ed. Berlin: Springer-Verlag, pp. 109–120.
Hong T. H. and A.Rosenfeld (1984). Compact region extraction using weighted pixel linking in a pyramid. IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. PAMI-6, pp.222–229.
Jolion J. M. and A.Montanvert (1992). The Adaptive Pyramid: A Framework for 2D Image Analysis. CVGIP: Image Understanding, Vol. 55, No. 3, May, pp.339–348.
Julesz B. and J.R.Bergen (1987). Textons, The Fundamental Elements in Preattentive Vision and Perception of Textures, Readings in Computer Vision.
Kasif S. and A. Rosenfeld (1983). Pyramid Linking is a Special Case of ISODATA. IEEE Transactions on System, Man and Cybernetics, Vol. SMC-13, No. 1, Jan/Feb.
Kjell B. P. and Charles R.Dyer (1986). Segmentation of Textured Images by Pyramid Linking, in Pyramidal Systems for Computer Vision, Edited by V.Cantoni and S.Levialdi, Springer-Verlag.
Lam W C Stephen and Horace H S Ip (1992). Texture Features Detection Using Generalized Voronoi Polygons. 2nd International Conference on Automation, Robotics and Computer Vision (ICAPCV'92), Singapore, 15–18 Septemmber.
Montanvert A., Peter Meer and Azriel Rosenfeld (1991). Hierarchical Image Analysis Using Irregular Tessellations. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 13, No. 4, pp.307–316.
Pratt W. K. (1991). Digital Image Processing, Wiley Interscience, P.629–646.
Rosenfeld A., Multiresolution Image Processing and Analysis, Springer-Verlag, Berlin, 1984.
Tomita F. and Saburo Tsuji (1990). Computer Analysis of Visual Textures. Kluwer Academic Publishers, P.163–170.
Tuceryan M. and Anil K.Jain (1990). Texture Segmentation Using Voronoi Polygons. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 12, No.2.
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© 1993 Springer-Verlag Berlin Heidelberg
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Lam, S.W.C., Ip, H.H.S. (1993). Adaptive pyramid approach to texture segmentation. In: Chetverikov, D., Kropatsch, W.G. (eds) Computer Analysis of Images and Patterns. CAIP 1993. Lecture Notes in Computer Science, vol 719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57233-3_36
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DOI: https://doi.org/10.1007/3-540-57233-3_36
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