The proceedings contain 62 papers. The topics discussed include: two frontiers in morphological image analysis: differential evolution models and hybrid morphological-linear neural networks;modeling and analysing comp...
ISBN:
(纸本)0818692154
The proceedings contain 62 papers. The topics discussed include: two frontiers in morphological image analysis: differential evolution models and hybrid morphological-linear neural networks;modeling and analysing computer animations;three-dimensional reconstruction from a set of video cameras of environments for virtual collaboration;image denoising, enhancement and segmentation: fast marching methods and geometric evolution;error measures in greedy insertion simplification methods;an algorithm for intersecting and trimming parametric meshes;stroking discrete polynomial Bezier curves via point containment paradigm;a constraint-based algorithm for engineering design;cache management for real time visualization of 2d data sets;towards perception driven visualization;load balancing for distributed virtual reality systems;image coding using irregular subsampling and Delaunay triangulation;image compression based on a multipoint Taylor series representation;directional interpolation pyramids for still image compression;a system's architecture for warping and morphing of graphical objects;real time video distribution using publication through a database;and rule-based classification procedures related to the unprecisely formulated expert rules.
This paper presents a system for automatic extraction of the user-entered data from brazilian bankchecks. We have assumed that the layout structure of bankchecks is standardized, that any bankcheck can be identified t...
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ISBN:
(纸本)0818692162
This paper presents a system for automatic extraction of the user-entered data from brazilian bankchecks. We have assumed that the layout structure of bankchecks is standardized, that any bankcheck can be identified through the MICR line and that a sample of the background pattern is available for every bankcheck. Based on these assumptions, a template is designed for extracting the user-entered items of any bankcheck, no mattering which financial institution has issued it. First, the bankcheck is digitized through a scanner and its skew angle is computed by an algorithm based on the Hough transform. Next a template is generated and used for extracting the user-entered data. The extracted data still shows the presence of the background pattern, character strings, and vertical and horizontal lines. The background pattern is eliminated by a morphological subtraction operation while the baselines are erased using an algorithm based on the projection profiles. The printed character strings are eliminated through a morphological subtraction between the image covered by the signature area and a sample of the character strings generated by the system. Finally, a post-processing algorithm is used for recovering some erased pixels. Experimental results show that this approach is robust and efficient for automatic extracting the user-entered items from brazilian bankchecks achieving a moderate processing time, very good image quality and excellent accuracy rates.
This paper presents a system for three-dimensional image reconstruction based on the combination of both adaptive and wavelet reconstruction method and the use of B-wavelets function for interpolation. Results show th...
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ISBN:
(纸本)0818692162
This paper presents a system for three-dimensional image reconstruction based on the combination of both adaptive and wavelet reconstruction method and the use of B-wavelets function for interpolation. Results show the usefulness of the system in three-dimensional image reconstruction and also after interpolation with data obtained by X and gamma-rays computerized minitomograph scanner for soil science developed at the brazilian Enterprise for Agricultural Research (EMBRAPA - Agricultural Instrumentation). Also for two-dimensional some advantages were observed of the developed system when compared with the filtered backprojection method for a particular set of phantom. The system was developed in Pascal and C/C++ languages under a Windows environment.
作者：
Magalhaes, LPUNICAMP
Sch Elect & Comp Engn FEEC Dept Comp Engn & Ind Automat DCA BR-13083970 Campinas SP Brazil
computer animation is a multifaceted field of computergraphics. This presentation explores one of these facets. At first computer animation will be surveyed through the use of a framework to help to order and classif...
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ISBN:
(纸本)0818692162
computer animation is a multifaceted field of computergraphics. This presentation explores one of these facets. At first computer animation will be surveyed through the use of a framework to help to order and classify its main approaches related to movement modeling. Then the use of Petri nets as a modeling and simulation tool to obtain some kind of foresight of a developed animation will be discuted.
We propose an image coding algorithm that effectively combines irregular subsampling and Delaunay triangulation. A set of sampling points in the image is selected in an incremental manner and used to construct a Delau...
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ISBN:
(纸本)0818692162
We propose an image coding algorithm that effectively combines irregular subsampling and Delaunay triangulation. A set of sampling points in the image is selected in an incremental manner and used to construct a Delaunay triangulation. Each triangular region is then approximated using linear interpolation. The coding scheme is based on run-length coding (RLC). The incremental selection of the sampling points takes into account the image contents. The results show that the algorithm is robust and superior to JPEG at low bit rates of 0.20 bpp and 0.10 bpp.
In this paper, we use partial differential equation based analysis as a methodology for computer-aided cytology. We wish to accurately extract and classify the shapes of nuclei from noisy confocal microscopy images. T...
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ISBN:
(纸本)0818692162
In this paper, we use partial differential equation based analysis as a methodology for computer-aided cytology. We wish to accurately extract and classify the shapes of nuclei from noisy confocal microscopy images. This is a prerequisite to an accurate quantitative intranuclear (genotypic and phenotypic) and internuclear (tissue structure) analysis of cancerous and pre-cancerouse specimens. We study the use of a geometric-driven scheme for improving the results obtained by a nuclear segmentation method, based on automatic segmentation, followed by object reconstruction and interactive classification. We build a chain of methods that includes an edge-preserving image smoothing mechanism, an automatic (albeit non-regularized) segmentation method, a geometry-driven scheme to regularize the shapes and improve edge fidelity, and an interactive method to split shape clusters and reclassify them.
This paper summarizes work done in our laboratory with a special emphasis on functional aspects of the visual field. The quality of the perceived image within a visual display depends on the information available with...
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ISBN:
(纸本)0818692162
This paper summarizes work done in our laboratory with a special emphasis on functional aspects of the visual field. The quality of the perceived image within a visual display depends on the information available within the display itself but also on the capacity of the human visual system to process visual information. Specifically, I will discuss work on human visual processing which deals with our capacity to process flicker information and how this is affected by aging, colour motion, visual distortions as assessed by curvature, and symmetry.
We present a general cache management algorithm with data pre-loading that optimizes access to data in real-time applications. We show that our algorithm provides the optimum results when the visualization sequence is...
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ISBN:
(纸本)0818692162
We present a general cache management algorithm with data pre-loading that optimizes access to data in real-time applications. We show that our algorithm provides the optimum results when the visualization sequence is known. We also present an oracle that estimates the visualization sequence for 2D data sets, and show the results of the algorithm in a virtual panorama viewer.
We present a two-step camera calibration process based on linear least squares formulations. We show how to apply this process to build an integrated modeling environment, in which a scene is modeled by having the use...
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ISBN:
(纸本)0818692162
We present a two-step camera calibration process based on linear least squares formulations. We show how to apply this process to build an integrated modeling environment, in which a scene is modeled by having the user specify, on a given image? a set of reference points (used for camera calibration) and object points (used for positioning the objects in the scene). Once this has been done, synthetic information can be superimposed onto the image and arbitrary views can be produced. Using this methodology, we developed Virtual Referee, an application to analyze soccer plays from still images, generating an OpenGL camera over a 3D field model.
Classification of image data can be done using supervised or unsupervised methods. Each approach has advantages and disadvantages: supervised methods require labeled samples in order to create signatures or discrimina...
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ISBN:
(纸本)0818692162
Classification of image data can be done using supervised or unsupervised methods. Each approach has advantages and disadvantages: supervised methods require labeled samples in order to create signatures or discriminating functions to classify unknown data, which at the end of the process will have class labels attached to it. Unsupervised methods, usually based on clustering, does not require samples for the classes, but its result will be unlabeled. requiring additional processing steps to attach labels to pixels on images. In this paper a new method for classification is presented, called biased clustering, which will use imprecise information about classes to create expectancies for assignment of a pixel to a class. These expectancies will be validated or corrected by a clustering method. The advantage over supervised methods is that the samples for the classes does not need to be precisely labeled, and can be derived with simple imageprocessing methods. The advantage over basic clustering methods is that the pixels will be labeled at the end of the classification. An application of the method will be presented, and results will be discussed.
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