Image segmentation using gray-scale morphology and marker-controlled watershed transformation.
Parvati, K., Prakasa Rao, B.S., Das, M.Mariya (2008)
Discrete Dynamics in Nature and Society
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Parvati, K., Prakasa Rao, B.S., Das, M.Mariya (2008)
Discrete Dynamics in Nature and Society
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Xinwu Liu, Lihong Huang (2014)
International Journal of Applied Mathematics and Computer Science
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Chen, Zhiguo, Xu, Wenbo, Leng, Wenhao, Fu, Yi (2010)
Mathematical Problems in Engineering
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Khalid Saeed, Marek Tabędzki, Mariusz Rybnik, Marcin Adamski (2010)
International Journal of Applied Mathematics and Computer Science
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This paper aims at three aspects closely related to each other: first, it presents the state of the art in the area of thinning methodologies, by giving descriptions of general ideas of the most significant algorithms with a comparison between them. Secondly, it proposes a new thinning algorithm that presents interesting properties in terms of processing quality and algorithm clarity, enriched with examples. Thirdly, the work considers parallelization issues for intrinsically sequential...
Mehryar Emambakhsh, Hossein Ebrahimnezhad, Mohammad Hossein Sedaaghi (2010)
International Journal of Applied Mathematics and Computer Science
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Segmentation is the art of partitioning an image into different regions where each one has some degree of uniformity in its feature space. A number of methods have been proposed and blind segmentation is one of them. It uses intrinsic image features, such as pixel intensity, color components and texture. However, some virtues, like poor contrast, noise and occlusion, can weaken the procedure. To overcome them, prior knowledge of the object of interest has to be incorporated in a top-down...
Stanislav S. Makhanov, Edmond J. Vanderperre (2001)
The Yugoslav Journal of Operations Research
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Michal Šorel, Filip Šroubek, Jan Flusser (2011)
Kybernetika
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Blur is a common problem that limits the effective resolution of many imaging systems. In this article, we give a general overview of methods that can be used to reduce the blur. This includes the classical multi-channel deconvolution problems as well as challenging extensions to spatially varying blur. The proposed methods are formulated as energy minimization problems with specific regularization terms on images and blurs. Experiments on real data illustrate very good and stable performance...
Robert Cierniak (2014)
International Journal of Applied Mathematics and Computer Science
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Radomír Chabiniok, Radek Máca, Michal Beneš, Jaroslav Tintěra (2013)
Kybernetika
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The article focuses on the application of the segmentation algorithm based on the numerical solution of the Allen-Cahn non-linear diffusion partial differential equation. This equation is related to the motion of curves by mean curvature. It exhibits several suitable mathematical properties including stable solution profile. This allows the user to follow accurately the position of the segmentation curve by bringing it quickly to the vicinity of the segmented object and by approaching...
Maciej Hrebień, Piotr Steć, Tomasz Nieczkowski, Andrzej Obuchowicz (2008)
International Journal of Applied Mathematics and Computer Science
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This paper describes three cytological image segmentation methods. The analysis includes the watershed algorithm, active contouring and a cellular automata GrowCut method. One can also find here a description of image pre-processing, Hough transform based pre-segmentation and an automatic nuclei localization mechanism used in our approach. Preliminary experimental results collected on a benchmark database present the quality of the methods in the analyzed issue. The discussion of common...