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Mathematical Methods in Medical Imaging II 1993

作者： Huang, Qian Stockman, George C. Pattern Recognition and Image Processing Laboratory Department of Computer Science Michigan State University East LansingMI48824 United States

Many biological objects are elongated. This research addresses the issue of recognizing elongated objects from both 2D intensity images and 3D volumes. A mathematical model, called tube model, is developed for this class of objects and is effectively utilized in two stages of recognition. The explicit relationships between geometrical surface features and the object model parameters are quantitatively exploited to automatically locate seeds for recognition. Invariant surface features are used to constrain or hypothesize the objects of interest. The verification of a hypothesis is performed by correlating a matched filter, dynamically generated based on the hypothesis, with the sensor data. The tubes identified in such a local recognition process serve as the seeds from which the global recognition process is initiated. Each seed is swept along the trajectory where the best-fit is found. A smooth sweep is controlled by a set of adaptive constraints computed dynamically from an on-line sweeping history. We apply the proposed method to real world data from different application domains. Experimental results are presented and discussed. © 1993 SPIE. All rights reserved.

关键词： Matched filters

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The dual irregular pyramid 5th

The dual irregular pyramid

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5th International Conference on Computer Analysis of images and patterns, CAIP 1993

作者： Kropatsch, Walter G. Reither, Christian Willersinn, Dieter Wlaschitz, Günther Technical University of Vienna Institute for Antomation 183/2 Department for Pattern Recognition and Image Processing Treitlstr. 3 WIENA-1040 Austria

ISBN: (纸本)9783540572336

The dual irregular pyramid combines the advantage of adaptivity with a limited computational complexity of neighborhood operations. The levels of the pyramid, dual graphs, are defined only if (hey are planar. We prove that planarity is conserved during the construction of the pyramid. We also prove that, though only one graph of the pair is decimated, the dual graph being derived from the result of the decimation, both graphs at the next level have at most a non-increasing number of nodes. © 1993, Springer Verlag. All rights reserved.

关键词： Computers

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DIRECT SHAPE RECONSTRUCTION OF 3-D OBJECT FROM MONOCULAR SHADING image

DIRECT SHAPE RECONSTRUCTION OF 3-D OBJECT FROM MONOCULAR SHA...

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计算机，通信，控制与电力工程国际会议

作者： Deng Yanping Li Jiegu Lin Sheng Ji Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University

ISBN: (纸本)0780312333

The method described here for reconstructing the shape of Lambertain surfaces from the shading information inherent in a monocular image can deal with the surface whose image,a smooth and non-self occluding one,is produced by orthographic projection and parallel light source from a known *** dividing the image area into serial triangles,the intensity function I(x,y) on each triangle can be *** the help of a support function and a transformation,it is proved that each triangle represents a cylinder in a new(X-Y) coordinates with (s,t) as its components of the surface ***,the ill-posed image brightness constraint equation in cartesian coordinates can be solved in(X-Y) coordinates with only one variable(s or t).It is necessary to find out,firstly,the pixel which has the maximal intensity,the assigning of its depth leads to the direct recovery of the shape at each point without the necessity of integration.

关键词： image DIRECT SHAPE RECONSTRUCTION OF 3-D OBJECT FROM MONOCULAR SHADING image

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Parallel line grouping in irregular curve pyramids

Parallel line grouping in irregular curve pyramids

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Conference on Computer Vision and pattern recognition (CVPR)

作者： W.G. Kropatsch D. Willersinn Department for Pattern Recognition and Image Processing Technical University of of Vienna Vienna Austria

In order to usefully apply the concept of the curve pyramid on grouping problems, the shift variance problem must be overcome by extending the concept to irregular pyramids. These have a structure that adapts to the image data by deriving control information from curve relations. The algorithm that builds the irregular curve pyramid by deriving higher levels of abstraction from a set of relations goes far beyond merely solving the shift variance problem. It can reduce the computational complexity in comparable applications where all possible combinations of parts have to be checked in order to reassemble complex objects.< >

关键词： image recognition image processing Stochastic processes

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Blind bilevel image restoration using Hopfield neural networks

Blind bilevel image restoration using Hopfield neural networ...

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International Conference on Neural Networks

作者： H.-J. Liu Y. Sun Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

A Hopfield neural network approach to blind bilevel image restoration is presented. In the approach, two kinds of Hopfield neural networks are used. One is the analog Hopfield neural network, utilized to estimate the parameters of the finite point spread function (PSF) of a blurring system. The other one is the modified Hopfield neural network used to restore bilevel image. The entire model is based on the alternative operation of the two networks. In the modified Hopfield neural network, the eliminating highest error (EHE) criterion is applied for the purpose of obtaining a more precise solution. Simulation results show that, after a few iterations, the model always obtains a bilevel image whose quality is almost the same as, or even better than, what is obtained by the modified Hopfield network when the precise parameters of PSF are used. The results are quite good. If the EHF criterion is not used, the model does not achieve a good bi-level image.< >

关键词： image restoration Hopfield neural networks Parameter estimation Degradation Convolution Sun image processing pattern recognition Neural networks Mathematics

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Layout and analysis: Finding text, titles, and photos in digital images of newspaper pages

Layout and analysis: Finding text, titles, and photos in dig...

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International Conference on Document Analysis and recognition

作者： J. Wieser A. Pinz Department for Pattern Recognition and Image Processing Inst. for Automation Technical University of of Vienna Wien Austria

An important step in the analysis of printed documents is the segmentation and classification of blocks into categories such as photographs, titles, paragraphs, etc. The authors present an approach to enhance and combine two commonly used methods, a merging bottom-up approach and a cutting top down approach, to segment pages of a newspaper. The implementation of a layout analysis system as a preprocessing module for a commercial product is described.< >

关键词： image analysis Digital images image segmentation Merging pattern analysis image converters Text analysis Optical character recognition software Particle separators Size measurement

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Motion constraint patterns

Motion constraint patterns

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1993 IEEE Workshop on Qualitative Vision, WQV 1993

作者： Fermüller, Cornelia Computer Vision Laboratory Center for Automation Research University of Maryland College ParkMD20742-3275 United States Department for Pattern Recognition and Image Processing Institute for Automation Technical University Vienna Treitlstraße 3 ViennaA-1040 Austria

ISBN: (纸本)0818636920

The problem of egomotion recovery has been treated by using as input local image motion, with the published algorithms utilizing the geometric constraint relating 2-D local image motion (optical flow, correspondence, derivatives of the image flow) to 3-D motion and structure. Since it has proved very difficult to achieve accurate input (local image motion), a lot of effort has been devoted to the development of robust techniques. A new approach to the problem of egomotion estimation is taken, based on constraints of a global nature. It is proved that local normal flow measurements form global patterns in the image plane. The position of these patterns is related to the three dimensional motion parameters. By locating some of these patterns, which depend only on subsets of the motion parameters, through a simple search technique, the 3-D motion parameters can be found. The proposed algorithmic procedure is very robust, since it is not affected by small perturbations in the normal flow measurements. As a matter of fact, since only the sign of the normal flow measurement is employed, the direction of translation and the axis of rotation can be estimated with up to 100% error in the image measurements. © 1993 IEEE.

关键词： Flow measurement

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Generalized tube model: recognizing 3D elongated objects from 2D intensity images

Generalized tube model: recognizing 3D elongated objects fro...

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Conference on Computer Vision and pattern recognition (CVPR)

作者： Q. Huang G.C. Stockman Pattern Recognition and Image Processing Laboratory Department of Computer Science Michigan State University East Lansing MI USA

The issue of recognizing 3D elongated objects from 2D intensity images is addressed. A tube model, locally similar to generalized cones, is developed for the class of elongated objects. A recognition strategy that combines 2D contour properties and surface shading information is used to exploit the power of the 3D model. Reliable contours provide constraints for localizing the objects of interest. The theory of optimal filters is adopted in verifying the shading of hypothesized objects. Object recognition is achieved through optimizing the signal-to-noise response with respect to model parameters. A sweeping operation is proposed as a further stage of identifying objects so that the overall performance of the system does not heavily rely on the quality of local feature detection.< >

关键词： image recognition Filters Object recognition Object detection Robustness image processing Laboratories Computer science Filtering theory Power system modeling

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Motion constraint patterns

Motion constraint patterns

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IEEE Workshop on Qualitative Vision

作者： C. Fermuller Department for Pattern Recognition and Image Processing Institute for Automation Technical University of of Vienna Vienna Austria Computer Vision Laboratory Center for Automation Research University of Maryland College Park MD USA

关键词： Motion estimation Computer vision Automation image motion analysis Fluid flow measurement Motion measurement Rotation measurement Laboratories Educational institutions Geometrical optics

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Text segmentation using gabor filters for automatic document processing

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Machine Vision and Applications 1992年第3期5卷 169-184页

作者： Jain, Anil K. Bhattacharjee, Sushil Pattern Recognition and Image Processing Processing Laboratory Michigan State University E. Lansing 48824-1027 MI United States

There is a considerable interest in designing automatic systems that will scan a given paper document and store it on electronic media for easier storage, manipulation, and access. Most documents contain graphics and images in addition to text. Thus, the document image has to be segmented to identify the text regions, so that OCR techniques may be applied only to those regions. In this paper, we present a simple method for document image segmentation in which text regions in a given document image are automatically identified. The proposed segmentation method for document images is based on a multichannel filtering approach to texture segmentation. The text in the document is considered as a textured region. Nontext contents in the document, such as blank spaces, graphics, and pictures, are considered as regions with different textures. Thus, the problem of segmenting document images into text and nontext regions can be posed as a texture segmentation problem. Two-dimensional Gabor filters are used to extract texture features for each of these regions. These filters have been extensively used earlier for a variety of texture segmentation tasks. Here we apply the same filters to the document image segmentation problem. Our segmentation method does not assume any a priori knowledge about the content or font styles of the document, and is shown to work even for skewed images and handwritten text. Results of the proposed segmentation method are presented for several test images which demonstrate the robustness of this technique. © 1992 Springer-Verlag New York Inc.

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