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proceedings - international conference on pattern recognition 2002年第1期16卷 57-60页

作者： Kampel, Martin Sablatnig, Robert Vienna University of Technology Institute of Computer Aided Automation Pattern Recognition and Image Processing Group Favoritenstr.9/183-2 A-1040 Vienna Austria

Classification and reconstruction of archaeological fragments is based on the profile, which is the cross-section of the fragment in the direction of the rotational axis of symmetry. In order to segment the profile into primitives like rim, wall, and base, rules based on expert knowledge are created. The input data for the estimation of the profile is a set of points produced by the acquisition system. A function fitting this set is constructed and later on processed to find the characteristic points necessary to classify the original fragment. The one we propose is based on B-splines or bell-shaped splines. © 2002 IEEE.

关键词： image segmentation

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A trainable hierarchical hiddens Markov tree model for color image annotation

Proceedings - International Conference on Pattern Recognitio...

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proceedings - international conference on pattern recognition 2002年第1期16卷 192-195页

作者： Cheng, Li Caelli, Terry Ochoa, Victor University of Alberta Edmonton Alta. T6G 2E9 Canada

In this paper we consider how to annotate or label regions of grey-level or multispectral images based upon known labels and a set of interacting hierarchical doubly stochastic processes. The proposed model extends current work on the use of hierarchical Markavian models for image processing using multiscale representations. In this paper we explore a new bijective up-down algorithm whereby the spatio-spectral context of specific image region signatures are encoded via different types of trainable support kernels for the upward and downward Operations. © 2002 IEEE.

关键词： Hierarchical systems

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Fine pixel SEM image for mask pattern quality assurance based on lithography simulation

Fine pixel SEM image for mask pattern quality assurance base...

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conference on Photomask and Next-Generation Lithography Mask Technology XIII

作者： Yamanaka, Eiji Kariya, Mitsuyo Yamaguchi, Shinji Tanaka, Satoshi Hashimoto, Kohji Itoh, Masamitsu Kobayashi, Hideaki Kawashima, Tsukasa Narukawa, Shogo Toshiba Co Ltd Semicond Co Saiwai Ku 1 Komukai Toshiba Cho Kawasaki Kanagawa 2128583 Japan Toshiba Co Ltd Semicond Co Dai Nippon Printing Corp JapanSaiwai Ku Proc & Mfg Engn CtrElect Device LabElect Devi Kawasaki Kanagawa 2128583 Japan

ISBN: (纸本)0819463582

Optical proximity correction (OPC) is an:essential technology for critical dimension (CD) control in Low-k1 lithography. As technology node becomes tighter, more aggressive OPC is required. However, the number of so-called HOT-SPOTs is increasing dramatically. To apply OPC correctly and efficiently, we should consider the total optimization of the process in close connection with data processing, reticle and wafer fabrication process. Conventional one-dimensional CD measurement is no longer suitable for complicated two-dimensional (2D) patterns generated by OPC (e.g. JOG and SERIF). For quality assurance of mask pattern, a metrology of complicated 2D OPC patterns has been required. In our previous report, we proposed a lithography simulation based on edge extraction from a fine pixel SEM image of an actual photomask. This method is very effective for evaluating quality of 2D OPC mask patterns. Employing the method, we developed a system for guaranteeing 2D OPC patterns before shipping the mask to a wafer factory (Fig. 1). In PMJ2005, we presented some specifications required for an SEM, which was one of the key factors of this method.((1)) We estimated how factors such as field of image, image resolution, positioning error, and image magnification affect lithography simulation based on fine pixel SEM image. For mask pattern quality assurance of hp65, we found that the field of image of larger than 16um square, the pixel size of less than 3nm, the positioning error of within +/-1um and the magnification error of less than 0.3% were acceptable (Table 1). Under these conditions, wafer image can be predicted with sufficient accuracy by the simulation. And then, in BACUS2005, we reported on a new SEM that was able to satisfy these specifications. ((2)) In this paper, we report some evaluation results of distortion caused by not only magnification error but also rotation and position error using actual fine pixel SEM image. We will also present our evaluation results of t

关键词： SEM edge extraction lithography simulation optical proximity correction (OPC) hotspot

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Genre-based search through biomedical images

Proceedings - International Conference on Pattern Recognitio...

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proceedings - international conference on pattern recognition 2002年第1期16卷 271-273页

作者： Geusebroek, Jan-Mark Hoang, Minh Anh Van Gemert, Jan Worring, Marcel Intelligent Sensory Information Systems Faculty of Science University of Amsterdam Kruislaan 403 1098 SJ Amsterdam Netherlands

We exploit the retrieval of visual information from biomedical scientific publication databases. Therefore, we consider the use of domain specific genres to automatically subdivide large image databases into smaller, consistent parts. Combination with Latent Semantic Indexing on the picture captions allows for efficient retrieval of images in specific categories. We demonstrate our approach on a large collection of images with captions from the Elsevier Brain Research publications. Initial result demonstrate the power of the proposed combination. © 2002 IEEE.

关键词： image processing

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Using constraint inequality on estimated correlation for rapid image search

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proceedings - international conference on pattern recognition 2002年第1期16卷 87-90页

作者： Kaneko, Shun'ichi Mae, Takahiro Miyamoto, Atsushi Hokkaido University Graduate School of Engineering Kita-13 Nishi-8 Kitaku Sapporo Japan Hitachi Co. Ltd. Production Engineering Research Laboratory Yoshida-cho Totsukaku Yokohama Japan

A rapid algorithm of searching for similar images to an object image in a set of registered images is proposed. Provided that correlations of all the pairs of registered images in advance, we can derive a constraint inequality for similarity of the object. By use of the upper bounds defined by the inequality, three conditions of neglect can be derived, which enable to quicken computation of searching. Efficiency rate of eight times in average could be obtained for searching 204 images in the set of 1,200 registered images. © 2002 IEEE.

关键词： image processing

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Registration and fusion of retinal images: A comparative study

Proceedings - International Conference on Pattern Recognitio...

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proceedings - international conference on pattern recognition 2002年第1期16卷 715-718页

作者： Laliberté, France Gagnon, Langis Yunlong, Sheng Département de R-D CRIM Montréal Qué. H3A 1B9 Département de Physique Université Laval Ste-Foy Qué. G1K 7P4

We present a new method to register high and low resolution color images of the retina as well as high resolution angiographies. The registration method is based on global point mapping with blood vessel bifurcations as control points. We also present results of various image fusion algorithms to determine the most appropriate one. Registration and fusion quality assessment is also discussed. © 2002 IEEE.

关键词： Color image processing

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Virtual view generation by linear processing of two differently focused images

Proceedings - International Conference on Pattern Recognitio...

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proceedings - international conference on pattern recognition 2002年第1期16卷 504-507页

作者： Kubota, Akira Aizawa, Kiyoharu Department of Electrical Engineering University of Tokyo

This paper presents a novel method to render shifting (parallax) and focussing effects on object in a scene for generating a virtual view image with arbitrary focus. Two differently focused images of a same scene - near-focused image and far-focused image - are used as input images under the assumption that a scene has near and far objects. The proposed method can freely handle the shifting and the focussing effect on each object according to the view point and the focus depth of the virtual camera only by linear filtering of the input images without any segmentation or 3D modeling of the objects. Experimental results using real images are shown to test the performance of the method. © 2002 IEEE.

关键词： Virtual reality

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Video clip recognition using joint audio-visual processing model

Proceedings - International Conference on Pattern Recognitio...

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proceedings - international conference on pattern recognition 2002年第1期16卷 500-503页

作者： Kulesh, Victor Petrushin, Valery A. Sethi, Ishwar K. Department of Computer Science and Engineering 160 Dodge Hall Oakland University Rochester MI 48309 United States Accenture Technology Labs Accenture 3773 Willow Rd Northbrook IL 60062 United States

The automatic recognition of video clips is an important capability with applications in broadcast monitoring for content theft and adherence to advertisement campaign. In this paper, we present an approach for video clip recognition based on HMM and GMM for modeling video and audio streams respectively. The approach is used to model TV commercials. The recognition results of using single stream and joint models are compared. The error rate of 0.01% is achieved when the joint audio-visual processing model is employed. © 2002 IEEE.

关键词： image reconstruction

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Multiple objects segmentation based on Maximum-likelihood Estimation and Optimum Entropy-distribution(MLE-OED)

Proceedings - International Conference on Pattern Recognitio...

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proceedings - international conference on pattern recognition 2002年第1期16卷 707-710页

作者： Jun, Xie Tsui, H.T. Deshen, Xia Image Processing and Computer Vision Lab Department of Electronic Engineering Chinese University of Hong Kong Hong Kong Pattern Recognition Lab Department of Computer Science Nanjing University of Sci. and Tech. China

A new method based on MLE-OED is proposed for unsupervised image segmentation of multiple objects which have fuzzy edges. It adjusts the parameters of a mixture of Gaussian distributions via minimizing a new loss function proposed to implement image segmentation based on the image's local spatial information and global intensity distribution properties . The loss function consists of two terms: a local content fitting term, which optimizes the entropy distribution, and a global statistical fitting term, which maximizes the likelihood of the parameters for the given data. The proposed segmentation method was validated by simulated and real examples. Its performance in the experiments is better than those of two popular methods. © 2002 IEEE.

关键词： Object recognition

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Segmentation of vector fields by critical point analysis: Application to brain deformation

Proceedings - International Conference on Pattern Recognitio...

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proceedings - international conference on pattern recognition 2002年第1期16卷 524-527页

作者： Wollny, Gert Tittgemeyer, Marc Kruggel, Frithjof Max-Planck-Institute of Cognitive Neuroscience Stephanstr. 1a 04277 Leipzig Germany

MRI examinations may be used to monitor the progress of neurological disease. Arising structural changes can then be quantified using non-rigid registration procedures. However, the interpretation of the resulting large scale vector fields is difficult without further processing. We propose using contraction mapping to detect critical points such as attractors and repellors in order to characterize deforming areas. With the application to time series images we show that critical points help to get a better perception of the brain deformation and the underlying pathological process. © 2002 IEEE.

关键词： image segmentation

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