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Morphological sharpening of color images

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Języki publikacji
EN
Abstrakty
EN
This paper presents a novel approach to morphological contrast sharpening of image using the multilevel toggle operator. The concept presented here is a generalization of toggle based contrast operator for gray-level images. The multilevel toggle operator is used to enhance the contrast of multivalued images. In order to perform necessary morphological operations the modified pairwise ordering (MPO) algorithm is proposed. It gives the total order of color pixels. For comparison four other ordering methods are used. The main advantage of the proposed sharpener is its significant contrast enhancing ability when using MPO. Theoretical considerations as well as practical results are shown. Experimental results show its applicability to low-contrast color images.
Rocznik
Strony
103--113
Opis fizyczny
Bibliogr. 22 poz., rys., fot., wykr., tab.
Twórcy
autor
  • Institute of Control and Industrial Electronics, Warsaw University of Technology, 75 Koszykowa St., 00-662 Warsaw, Poland
Bibliografia
  • [1] F. Stanco, S. Battiato, and G. Gallo, Digital Imaging for Cultural Heritage Preservation: Analysis, Restoration, and Reconstruction of Ancient Artworks, CRC Press, London, 2011.
  • [2] T. Markiewicz, M. Dziekiewicz, S. Osowski, M. Maruszynski, W. Kozlowski, and R. Boguslawska-Walecka, “Thresholding techniques for segmentation of atherosclerotic plaque and lumen areas in vascular arteries” Bull. Pol. Ac.: Tech. 63 (1), 269-280 (2015).
  • [3] S.A.Mahmoudi, M. Kierzynka, P.Manneback, and K. Kurowski, “Real-time motion tracking using optical flow on multiple GPUs”, Bull. Pol. Ac.: Tech. 62 (1), 139-150 (2014).
  • [4] H. Kramer and J. Bruckner, “Iteration of non-linear transformation for enhancement of digital image”, Pattern Recogn. 7, 53-58 (1975).
  • [5] J. Serra, “Toggle mappings”, in From Pixels to Features, J.C. Simon (ed.), Elsevier Science Publishers BV, pp. 61-71, Amsterdam, 1989.
  • [6] F. Meyer and J.Serra, “Contrast and activity lattice”, Signal Processing 16 (4), 303-317 (1989).
  • [7] S. Velasco-Forero, J. Angulo, and P. Soille, “Conditional toggle mappings: principles and applications”, J. Mathematical Imaging and Vision 48, 544-565 (2014).
  • [8] J. Angulo, “Morphological colour operators in totally ordered lattices based on distances: application to image filtering, Enhancement and Analysis”, Computer Vision and Image Understanding 107, 56-73 (2007).
  • [9] S. Skoneczny, “Nonlinear image sharpening in the HSV color space”, Przeglad Elektrotechniczny (Electrotechnical Review) 88 (2), 140-144 (2012).
  • [10] P. Soille, “A note on morphological contrast enhancement”, Technical Report RT-PS-001 Ecole de Mines d’Ales-EERIE, (1997).
  • [11] P. Soille, Morphological Image Analysis, Springer-Verlag, Berlin, 2003.
  • [12] A. Evans, “Nonlinear operations for colour images based on pairwise vector ordering”, Proc. Digital Image Computing: Techniques and Applications - DICTA 1, 61-65 (2005).
  • [13] V. Barnett, “The ordering of multivariate data”, J. Royal Statistical Society 139 (3), 318-355 (1976).
  • [14] M. Comer and E. Delp, “Morphological operations for color image processing”, J. Electron. Imaging. 8 (3), 279-289 (1999).
  • [15] E. Aptoula and S. Lefevre, “A Comparative study on multivariate mathematical morphology”, Pattern Recogn. 40, 2914-2929 (2007).
  • [16] C.-J. Zhao, X.-H. Gao, and X.-Y. Hu, “An adaptive lexicographical ordering of color mathematical morphology”, J. Comp. 24 (1), 51-59 (2013).
  • [17] S. Velasco-Forero and J. Angulo, “Vector ordering and, multispectral morphological image processing”, in Advances in Low-Level Color Image Processing, eds. M. Enre Celebi, B. Smolka, pp. 223-239, Berlin, 2014.
  • [18] E. Aptoula and S. Lefevre, “On lexicographic ordering in multivariate mathematical morphological”, Pattern Recogn. Let. 29 (2), 109-118 (2008).
  • [19] F. Ortiz, F. Torres, J. Angulo, and S. Puente, “Comparativ6e study of vectorial morphological operations in different color spaces”, Proc. SPIE 4572, 259-268 (2001).
  • [20] M. Vardavoulia, I. Andreadis, and Ph. Tsalides, “Vector Ordering and morphological operations for colour image processing: fundamentals and applications”, Pattern Analysis Applications 5, 271-287 (2002).
  • [21] A. Dhawan, G. Buelloni, and R. Gordon, “Enhancement of mammographic features by optimal adaptive neighborhood image processing”, IEEE Trans. Med. Imaging. 5 (1), 8-15 (1986).
  • [22] S. Matz and R. de Figueiredo, “A Nonlinear image contrast sharpening approach based on Munsells scale”, IEEE Trans. Imag. Proc. 15, 900-909 (2006).
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016.
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-ec1333e6-b41f-4bd9-beee-eba67f3a9dc8
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