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IEEE Region 10 International Conference TENCON

作者： Seyoon Jeong Kyuheon Kim Byungtae Chun Jaeyeon Lee Y.J. Bae Department of Image Processing Computer & Software Technology Laboratory Electronics and Telecommunications Research Institute Taejon South Korea

We propose an image retrieval system using the Borda count method in combining multiple experts (CME). It combines color-, shape- and texture-based retrieval systems. CME method can complementarily combine results of each retrieval system, which uses different features. There are some problems when the Borda count method in pattern recognition is applied to image retrieval. Thus, we propose a modified Borda count method to solve these problems. In the experiment our method reduces false positive errors and produces better results than that of each retrieval module that uses only one feature.

关键词： image retrieval Pattern recognition Shape Equations Fuzzy neural networks image processing Telecommunication computing Software Laboratories Content based retrieval

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A fuzzy logic method on IC lead-frame surface inspection

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Jimin Li Weon-Geun Oh Chang-Joon Park Hyeon-Jin Kim Department of Computer Science Harbin Institute of Technology China Computer Vision Research Team Image Processing Department Computer & Software Technology Laboratory Electronics and Telecommunications Research Institute South Korea

ISBN: (纸本)0780354060

The inspection of lead-frame is important in semiconductor industry. During the production process, the quality control of lead-frame plays an important role. Here we introduce a method for inspection of contamination and plating quality of lead frame. The basic method of segmentation of interested lead surface into five classes is discussed based on the samples supplied from IC manufacturing company. A two-stage inspection method is introduced based on the basic five classes. The discussion of the system realization and experimental results show the idea.

关键词： Fuzzy logic Inspection Production Pattern recognition Photonic integrated circuits Shape image processing Laboratories computer science Lead compounds

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Automatic text extraction in digital videos using FFT and neural network

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Byung Tae Chun Younglae Bae Tai-Yun Kim Image Processing Department Computer & Software Technology Laboratory Electronics and Telecommunications Research Institute Daejeon South Korea Department of Computer Science and Engineering Korea University Seoul South Korea

ISBN: (纸本)0780354060

Popular methods for extracting a text region in video images are in general based on analysis of a whole image such as merge and split method, and comparison of two frames. Thus, they take long computing time due to the use of a whole image. Therefore, this paper suggests the faster method of extracting a text region without processing a whole image. The proposed method uses line sampling methods, FFT and neural networks in order to extract texts in real time. In general, text areas are found in the higher frequency domain, thus, can be characterized using FFT. The candidate text areas can be thus found by applying the higher frequency characteristics to neural network. Therefore, the final text area is extracted by verifying the candidate areas. Experimental results show a perfect candidate extraction rate and about 92% text extraction rate. The strength of the proposed algorithm is its simplicity, real-time processing by not processing the entire image, and fast skipping of the images that do not contain a text.

关键词： Intelligent networks Videos Neural networks Frequency domain analysis Data mining image analysis Optical character recognition software Text recognition Layout image processing

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Caption segmentation method in videos using isodata clustering of topographical features

Caption segmentation method in videos using isodata clusteri...

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IEEE Region 10 International Conference TENCON

作者： Byung Tae Chun Yonglae Bae Tai-Yun Kim Image Processing Department Computer & Software Technology Laboratory Electronics and Telecommunications Research Institute Taejon South Korea Department of Computer Science and Engineering Korea University Seoul South Korea

Conventional caption extraction approaches often use a spatial variance method or a color reduction method such as color histogram and color quantization. These methods are time-consuming and restrict the colors for extracting captions. In this paper we propose a method that extracts caption areas using TFs (topographical features) and isodata color clustering. After extracting TFs points using the topographical characteristics of characters, the isodata clustering method is used to cluster the similar colors. The point-line-region method is used to construct the blocks for each of the clustered groups. Constructed blocks are verified and candidate areas are decided. Caption regions are determined by testing several conditions and verifying those candidate areas. Experimental results show that the candidate region extraction rate is 100%, and the character region extraction rate is 98%.

关键词： Videos Color Data mining image segmentation Testing image processing Telecommunication computing Software computer science Histograms

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Text extraction in videos using topographical features of characters

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

ISBN: (纸本)0780354060

Traditional character extraction methods use split-and-merge or color segmentation methods from the whole image. These methods do not reflect characteristics of characters such that character regions can be extracted incorrectly. In this paper, we use topographical features of characters to extract the character points and use the density of those points to extract the candidate regions for captions. Character regions are determined by testing several conditions and verifying those candidate regions. Experimental results show that the candidate region extraction rate is 100%, and the character region extraction rate is 99%. Non-character regions can exist within the extracted character regions which are removed using the Isodata color clustering method.

关键词： Videos Data mining Testing image retrieval Shape Information retrieval Text recognition Optical character recognition software image processing Telecommunication computing

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Efficient and effective similar shape retrieval

Efficient and effective similar shape retrieval

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IEEE International Conference on Multimedia Computing and Systems (ICMCS)

作者： Jia Wang W. Chang R. Acharya Image and Video Processing Group LG Electronics Research Center of America Inc. NJ USA Department of Computer Engineering Rochester Institute of Technology Rochester NY USA Department of Electrical and Computer Engineering State University of New York Buffalo NY USA

We present the design and implementation of a content based retrieval system which achieves efficient and effective similar shape retrieval using a modified geometric hashing technique. The system contains four main components: a feature acquisition module, a query manager, a search engine, and a hash table. The hash table houses the feature information. The query manager accepts the user query and extracts contours from the query image. The feature acquisition module transforms and quantizes the image contours and formulates the hash table entries. Given a visual query, the search agent derives a list of potentially similar shape images by searching the hash table using a majority voting algorithm. Extensive experiments have been conducted to demonstrate that the proposed designs offer a viable and practical approach to similar shape retrieval.

关键词： Shape Information retrieval image retrieval Spatial databases Content based retrieval Search engines Visual databases image databases Architecture Data mining

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Perceptual relevance of objectively measured descriptors for speaker characterization

Perceptual relevance of objectively measured descriptors for...

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1998 23rd IEEE International Conference on Acoustics, Speech and Signal processing, ICASSP 1998

作者： Necioglu, Burhan F. Clements, Mark A. Barnwell, Thomas P. Schmidt-Nielsen, Astrid Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332 United States Code 5513 Naval Research Laboratory 4555 Overlook Ave SW Washington DC 20375 United States

ISBN: (纸本)0780344286

Subjective testing of speaker recognizability is an intricate, time consuming and very expensive process, but using objectively measurable descriptors to augment the subjective speaker recognizability tests could result in increased efficiency and reliability. This paper describes our investigation into the relevancy of a set of objective descriptors to human perception of speaker identity through multidimensional scaling (MDS) of subjective speaker pair similarity judgments. The evaluated objective descriptors can achieve same/different detection error rates as low as 4.13% for male speaker pairs, and 8.17% for female speaker pairs, with only 3 seconds of speech. Five descriptors related to glottal, vocal tract and prosodic features were found to have significant correlations with the perceptual dimensions of the MDS solutions. © 1998 IEEE.

关键词： Subjective testing

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On the chip implementation of analogic algorithms for optical detection of some layout errors of printed circuit boards

On the chip implementation of analogic algorithms for optica...

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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： K. Tomordi P. Foldesy P. Szolgay Analogic and Neural Computing Systems Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Image Processing and Neurocomputing Department Faculty of Engineering University of Veszprém Veszprem Hungary

Printed circuit board layout inspection methods are mostly based on local geometric information, therefore they are well suited to the cellular neural networks (CNN) paradigm. The wire break, the wire and isolation width violation and an "H" type short circuits detector analogic algorithms were tested on a 20*22 CNN Universal Machine (CNNUM) chip working in the CNN Chip Prototyping System (CCPS) and on the CNN Engine Board (CNNEB), and the results were compared to the commercially available inspection systems.

关键词： Cellular neural networks Inspection Wire Circuit testing Geometrical optics Optical computing Printed circuits Detectors System testing Turing machines

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Progressive coding of medical volumetric data using three-dimensional integer wavelet packet transform

Progressive coding of medical volumetric data using three-di...

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Pacific Medical Technology Symposium

作者： Zixiang Xiong Xiaolin Wu D.Y. Yun W.A. Pearlman Department of Electrical Engineering University of Hawai Honolulu HI USA Department of Computer Science University of Western Ontario London ONT Canada Center for Image Processing Research Rensselaer Polytechnic Institute Troy NY USA

Examines progressive lossy-to-lossless compression of medical volumetric data using 3D integer wavelet packet transforms and set partitioning in hierarchical trees (SPIHT). To achieve good lossy coding performance, we describe a 3D integer wavelet packet transform that allows implicit bit shifting of wavelet coefficients to approximate a 3D unitary transformation. We also address context modeling for efficient entropy coding within the SPIHT framework. Both lossy and lossless coding performances are better than those reported by A. Bilgin et al. (1998).

关键词： Wavelet packets image coding Wavelet transforms Biomedical imaging Medical diagnostic imaging Context modeling Performance loss Quantization computer science image processing

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A Region-Based Representation of images in MARS

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Journal of VLSI Signal processing Systems for Signal, image, and Video Technology 1998年第1-2期20卷 137-150页

作者： Servetto, Sergio D. Rui, Yong Ramchandran, Kannan Huang, Thomas S. Beckman Inst. Adv. Sci. and Technol. Univ. Illinois at Urbana-Champaign Urbana IL 61801 United States Universidad Nacional de La Plata Argentina Univ. Illinois at Urbana-Champaign United States Comp. Res. Adv. Applications Group IBM Argentina Argentina Image Formation and Processing Group Beckman Institute UIUC United States Department of Computer Science UNLP Argentina Dept. of Elec. and Comp. Engineering UIUC United States Multimedia Commun. Res. Department Bell Laboratories Murray Hill NJ United States Info. Sciences Research Department AT and T Labs. Florham Park NJ United States Department of Computer Science UIUC United States Southeast University China Tsinghua University China University of Illinois Urbana-Champaign IL United States Image Formation and Processing Group Beckman Inst. Advance Sci. Technol. UIUC United States Vis. Technol. Grp. of Microsoft Res. Redmond WA United States City College of New York United States Columbia University United States AT and T Bell Labs. United States Ctr. for Telecommunications Research Columbia University United States Elec. and Comp. Eng. Department United States Beckman Institute Coordinated Science Laboratory IL United States IEEE Signal Processing Society United States IEEE IMDSP Technical Committee United States IEEE Transactions on Image Proc. United States National Taiwan University Taipei Taiwan Massachusetts Inst. of Technology Cambridge MA United States Department of Electrical Engineering MIT United States School of Electrical Engineering United States Lab. for Info. and Signal Processing Purdue University United States Dept. of Elec. and Comp. Engineering United States Coordinated Science Laboratory United States Image Formation and Processing Group Beckman Inst. Adv. Sci. and Technol. United States MIT Lincoln Laboratory IBM Thomas J. Watson Research Center Rheinishes Landes Museum Bonn Germany Swiss Institutes of Technology Zurich Switzerland Swiss Institutes of Technology Lausanne S

We study the problem of representing images within a multimedia Database Management System (DBMS), in order to support fast retrieval operations without compromising storage efficiency. To achieve this goal, we propose new image coding techniques which combine a wavelet representation, embedded coding of the wavelet coefficients, and segmentation of image-domain regions in the wavelet domain. A bitstream is generated in which each image region is encoded independently of other regions, without having to explicitly store information describing the regions. Simulation results show that our proposed algorithms achieve coding performance which compares favorably, both perceptually and objectively, to that achieved using state-of-the-art image/video coding techniques while additionally providing region-based support.

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