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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Displaying similar documents to “A new high-speed foreign fiber detection system with machine vision.”
Image segmentation using gray-scale morphology and marker-controlled watershed transformation.
Determination of the number of texture segments using wavelets.
Havlicek, Joseph P., Tay, Peter C. (2001)
Electronic Journal of Differential Equations (EJDE) [electronic only]
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Pyramidal watershed segmentation algorithm for high-resolution remote sensing images using discrete wavelet transforms.
Parvathi, K., Prakasa Rao, B.S., Das, M.Mariya, Rao, T.V. (2009)
Discrete Dynamics in Nature and Society
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Color-texture-based image retrieval system using Gaussian Markov random field model.
Tsai, Meng-Hsiun, Chan, Yung-Kuan, Wang, Jiun-Shiang, Guo, Shu-Wei, Wu, Jiunn-Lin (2009)
Mathematical Problems in Engineering
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SVM Based Forest Fire Detection Using Static and Dynamic Features
Jianhui Zhao, Zhong Zhang, Shizhong Han, Chengzhang Qu, Zhiyong Yuan, Dengyi Zhang (2011)
Computer Science and Information Systems
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Efficient and effective total variation image super-resolution: a preconditioned operator splitting approach.
Huang, Li-Li, Xiao, Liang, Wei, Zhi-Hui (2011)
Mathematical Problems in Engineering
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Eye localization for face recognition
Paola Campadelli, Raffaella Lanzarotti, Giuseppe Lipori (2006)
RAIRO - Theoretical Informatics and Applications
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We present a novel eye localization method which can be used in face recognition applications. It is based on two SVM classifiers which localize the eyes at different resolution levels exploiting the Haar wavelet representation of the images. We present an extensive analysis of its performance on images of very different public databases, showing very good results.
Integrated region-based segmentation using color components and texture features with prior shape knowledge
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...
Application of Wavelet Decomposition to Document Line Segmentation
Laskov, Lasko (2012)
Serdica Journal of Computing
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ACM Computing Classification System (1998): I.7, I.7.5. In this paper an approach to document line segmentation is presented. The algorithm is based on a wavelet transform of the horizontal projective profile of the document image. The projective profile is examined as a one-dimensional discrete signal which is decomposed using the pyramidal wavelet algorithm up to a precise scale, where local minima and maxima are discovered. These local extrema, projected into the input...
Segmentation of breast cancer fine needle biopsy cytological images
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...