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13th brazilian symposium on computer graphics and image processing, SIBGRAPI 2000

作者： Da Silva, Vânia Cordeiro De Carvalho, João Marques Departamento de Engenharia Elétrica Univ. Fed. da Paraíba CP 10105 Campina Grande PBCEP 58109-970 Brazil

ISBN: (纸本)0769508782

this work presents a new method for image compression, using Tritree decomposition (TT). TT have been originally proposed by Wille for generation of non-structured finite elements meshs, for numerical solution of differential equation systems [1]. TT decomposition is similar to the Quadtree decomposition (QT), which has been broadly used by image processing algorithms, mainly for segmentation and compression. However, while QT subdivides the image into progressively smaller quadratic regions, TT decomposition subdivides the image in triangular regions. the goal is to segment the image into a set of triangular homogeneous regions, where the differences among the pixel values don't exceed a certain threshold. A tree is built to represent the decomposition. Each triangle will be a node of the tree TT. the initial triangle, that contains the whole image, is the root of the tree. the final triangles, representing the compressed image, are the leaves of the tree. Reconstruction of the image is accomplished by planar interpolation among the vertices of each triangle leaf. © 2000 IEEE.

关键词： image compression

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Object detection by k-connected seed competition

Object detection by k-connected seed competition

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SIBGRAPI 2005: 18th brazilian symposium on computer graphics and image processing - Conference Proceedings

作者： Falcão, Alexandre X. Miranda, Paulo A. V. Rocha, Andersen Bergo, Felipe P. G. CEP 13084-851 Campinas SP Brazil

ISBN: (纸本)0769523897

the notion of "strength of connectedness" between pixels has been successfully used in image segmentation. We present an extension to these works, which can considerably increase the efficiency of object definition tasks. A set of pixels is said a k-connected component with respect to a seed pixel when the strength of connectedness of any pixel in that set with respect to the seed is higher than or equal to a threshold. While the previous approaches either assume no competition with a single threshold for all seeds or eliminate the threshold for seed competition, we found that seed competition with different thresholds can reduce the number of seeds and the need for user interaction during segmentation. We also propose automatic and user-friendly interactive methods for determining the thresholds. the improvements are demonstrated through several segmentation experiments involving medical images. © 2005 IEEE.

关键词： image segmentation

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Fast digital perspective shell rendering 12

Fast digital perspective shell rendering

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12th brazilian symposium on computer graphics and lmage processing, SIBGRAPI 1999

作者： Carnielli, G.P. Falcao, A.X. Udupa, J. Universidade Estadual de Campinas Instituto de Computação Campinas SPC.P. 6176 13083-970 Brazil University of Pennsylvania Dept. of Radiology 423 Guardian Drive PhiladelphiaPA19104-6021 United States

ISBN: (纸本)0769504817

Volume visualization methods usually require extensive storage and time-intensive computations. To make them viable in many applications, researchers have proposed various types of hardware-based and software-based solutions. In most of these solutions, the rendering is based on orthographic parallel projection. However, in applications such as virtual endoscopy, perspective projection is necessary to allow the observer to travel inside the structures. In this paper, we extend one of these software-based solutions, called shell rendering, to provide fast digital perspective projection. the main idea in digital perspective is that each voxel should be rendered using an integer number of pixels which is inversely proportional to the distance between the voxel and the observer and that that distance can be discretized. We show that the new method, called digital perspective shell rendering, provides the same image quality as orthographic parallel projection. © 1999 IEEE.

关键词： Rendering (computer graphics)

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Viscosity solutions of a level-set method for anisotropic geometric diffusion in image processing

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JOURNAL OF MAthEMATICAL IMAGING AND VISION 2007年第2-3期29卷 205-217页

作者： Preusser, Tobias Univ Bremen Ctr Comp Syst & Visualizat CeVis D-28359 Bremen Germany

We discuss the existence of viscosity solutions for a class of anisotropic level-set methods which can be seen as an extension of the mean-curvature motion with a nonlinear anisotropic diffusion tensor. In an earlier work (Mikula et al. in Comput. Vis. Sci. 6(4):197-209, [2004];Preusser and Rumpf in SIAM J. Appl. Math. 62(5):1772-1793, [2002]) we have applied such methods for the denoising and enhancement of static images and image sequences. the models are characterized by the fact that-unlike the mean-curvature motion-they are capable of retaining important geometric structures like edges and corners of the level-sets. the article reviews the definition of the model and discusses its geometric behavior. the proof of the existence of viscosity solutions for these models is based on a fixed point argument which utilizes a compactness property of the diffusion tensor. For the application to image processing suitable regularizations of the diffusion tensor are presented for which the compactness assumptions of the existence proof hold. Finally, we consider the half relaxed limits of the solutions of auxiliary problems to show the compactness of the solution operator and thus the existence of a solution to the original problem.

关键词： image processing anisotropic diffusion level set method viscosity solution half relaxed limits

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Analytical model for the optimization of self-organizing image processing systems utilizing cellular automata

Analytical model for the optimization of self-organizing ima...

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2011 14th IEEE International symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops, ISORCW 2011

作者： Reichenbach, Marc Schmidt, Michael Fey, Dietmar Department Computer Science Friedrich-Alexander-University Erlangen-Nuremberg Germany

ISBN: (纸本)9780769543772

the usage of Cellular Automata (CA) for image processing tasks in self-organizing systems is a well known method, but it is a challenge to process such CAs in an embedded hardware efficiently. CAs present a helpful base for the design of both robust and fast solutions for embedded image processing hardware. therefore, we have developed a system on a chip called ParCA which is a programmable architecture for the realization of parallel image processing algorithms based on CAs. In order to be able to determine the optimal parameters for such an image processing system, for example the degree of parallelization or the optimum partitioning size for large input images parallel processing, we deduced an analytical model comprising of a set of equations which reflect the dependencies of these parameters. By means of a multi-dimensional optimization it is possible with our model to evaluate existing systems in order to find bottlenecks or to build new architectures in an optimal way relating to given constraints. © 2011 IEEE.

关键词： Analytical models

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Query-by-Example Word Spotting with Fuzzy Word Sizes 14

Query-by-Example Word Spotting with Fuzzy Word Sizes

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14th International Joint symposium on Artificial Intelligence and Natural Language processing, iSAI-NLP 2019

作者： Wiwatcharee, Amornchai Phienthrakul, Tanasanee Mahidol University Department of Computer Engineering Nakhon pathom Thailand

ISBN: (纸本)9781728156316

this paper proposed the query-by-example word spotting model for handwritten documents with image fuzzification. Fuzzy size of word images was used to size of problem. the number of classes in each set were decreased, which made it is easy to choose parameters. the Pyramid of Histogram of Oriented Gradients (PHOG) feature and Support Vector Machine (SVM) were employed to use in the model. IAM handwritten database was used for evaluating the model. the result demonstrates that the micro precision of model with image fuzzification and without image fuzzification were 35.11% and 23.54% respectively. However, the accuracies of the models were 35.11% and 40.14% respectively. thus, the image fuzzification can be used for reducing of type one error with slightly accuracy loss. © 2019 IEEE.

关键词： Support vector machines

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Using adaptive contraction for fractal image coding based on local fractal dimension 12

Using adaptive contraction for fractal image coding based on...

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12th brazilian symposium on computer graphics and lmage processing, SIBGRAPI 1999

作者： Conci, A. Aquino, F.R. IC- Instituto de Computação CAA- Computação Aplicada e Automação UFF - Universidade Federal Fluminense R Passo da Pátria 156 Niterói RJ24210-240 Brazil

ISBN: (纸本)0769504817

In automatic fractal image compression, most of the encoding time is spent on finding the best match between each range block and the domain blocks. We propose the use of the local complexity of the image domain blocks to reduce the number of pairs to be tested on this search. Indexing the contracted domain pools according to their local fractal dimension and using multiple contraction factors we can confine all potential matches to a relatively small number of possibilities. By selecting an appropriate criterion for close match, the compression time can be shortened without image quality degradation. the performance of the proposed algorithm, evaluated by means of fidelity versus encoding time and compression ratio, is compared with five approaches. Future developments can also improve the compression ratio by using fractal dimension in the definition of the size of range blocks. © 1999 IEEE.

关键词： Fractal dimension

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Parallelism and images: A parallelization experiment for image segmentation with an application for automatic classification of scenes obtained from orbital platforms 13

Parallelism and images: A parallelization experiment for ima...

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13th brazilian symposium on computer graphics and image processing, SIBGRAPI 2000

作者： De Freitas Fernandes, Silene Monteiro, Antonio Miguel Vieira Mendes, Celso Luiz UNIVAP - Universidade do Vale do Paraíba Av Shishima Hifumi 2911 São José dos Campos SP12244 Brazil INPE - Institute Nacional de Pesquisas Espaciais Caixa Postal 515 São José dos Campos SP12201 Brazil HNPE - Instituto Nacional de Pesquisas Espaciais Caixa Postal 515 São José dos Campos SP12201 Brazil

ISBN: (纸本)0769508782

Segmentation is an important step in image analysis for remote sensing;it is responsible for splitting the image into two distinct parts so. Current segmentation methods used in images of this type are usually based on analysis of the pixel values in all image bands. this type of analysis can be computationally expensive. In order to reduce the processing time in image segmentation process this work introduces a parallel approach to image segmentation. this method is based on region growing technique. the parallelism is done using the SPMD (Single Process, Multiple Data) paradigm and the message-passing model under the MPI (Message Passing Interface). the results have been compared with output of a sequential system executing the same environment. © 2000 IEEE.

关键词： image analysis

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A RBFN perceptive model for image thresholding

A RBFN perceptive model for image thresholding

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SIBGRAPI 2005: 18th brazilian symposium on computer graphics and image processing - Conference Proceedings

作者： Lopes, Fabrício Martins Consularo, Luís Augusto CEFET-PR - Centro Federal de Educação Tecnológica do Paraná Av. Alberto Carazzai 1640 86300-000 Cornelio Procopio PR Brazil UNIMEP - Universidade Metodista de Piracicaba Rodovia do Açúcar Km 156 13400-911 Piracicaba SP Brazil

ISBN: (纸本)0769523897

the digital image segmentation challenge has demanded the development of a plethora of methods and approaches. A quite simple approach, the thresholding, has still been intensively applied mainly for real-time vision applications. However, the threshold criteria often depend on entropic or statistical image features. this work searches a relationship between these features and subjective human threshold decisions. then, an image thresholding model based on these subjective decisions and global statistical features was developed by training a Radial Basis Functions Network (RBFN). this work also compares the automatic thresholding methods to the human responses. Furthermore, the RBFN-modeled answers were compared to the automatic thresholding. the results show that entropic-based method was closer to RBFN-modeled thresholding than variance-based method. It was also found that another automatic method which combines global and local criteria presented higher correlation with human responses. © 2005 IEEE.

关键词： image segmentation

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Morphological operators for segmentation of color sequences 13

Morphological operators for segmentation of color sequences

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13th brazilian symposium on computer graphics and image processing, SIBGRAPI 2000

作者： Flores, Franklin César Hirata, Roberto Barrera, Junior Lotufo, Roberto A. Meyer, Fernand Instituto de Matemática e Estatística USP PO Box 66.281 São Paulo - SP05315-970 Brazil Faculty of Electrical and Computer Engineering UNICAMP PO Box 6101 Campinas - SP13081-970 Brazil Centre de Morphologie Mathématique Ecole des Mines de Paris 35 rue St. Honore Fontainebleu77305 France

ISBN: (纸本)0769508782

this paper presents a technique for the segmentation of moving objects in color image sequences. the technique is based on Beucher-Meyer paradigm, with markers detected by a morphological operator designed by computational learning (or, equivalently, statistical optimization.) Objects in some frames of the video are marked manually and used to train the markers detector. then, the operator designed is used to mark the objects in the other frames and the paradigm is applied to all frames marked by the detector. Two real world examples illustrate the application of the proposed technique. © 2000 IEEE.

关键词： image segmentation

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