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IEEE International Conference on image processing

作者： Dongqing Chen Aly A. Farag Robert L. Falk Gerald W. Dryden Computer Vision & Image Processing (CVIP) Laboratory Department of Electrical and Computer Engineering University of Louisville Louisville KY USA Jewish Hospital Louisville KY USA Division of Gastroenterology/Hepatology University of Louisville Louisville KY USA

Colorectal cancer includes cancer of the colon, rectum, anus and appendix. Since it is largely preventable, it is extremely important to detect and treat the colorectal cancer in the earliest stage. Virtual colonoscopy is an emerging screening technique for colon cancer. One component of virtual colonoscopy, image pre-processing, is important for colonic polyp detection/ diagnosis, feature extraction and classification. This paper introduces a general variational approach based framework for a computer aided diagnosis system for colorectal cancer. It includes techniques for 3D colon segmentation, 3D colon object reconstruction by iso-surface generation, and 3D centerline extraction. The proposed framework has been validated on 22 real CT colonography datasets.

关键词： Colonic polyps Visualization Virtual colonoscopy Cancer Colon Colonography image segmentation optical computing Computed tomography image reconstruction

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Ground truth data collection for unmixing algorithm evaluation

Ground truth data collection for unmixing algorithm evaluati...

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Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral imagery XIV

作者： Rivera-Borrero, Carlos Rosario, Samuel Hunt, Shawn Zayas, Carmen Mundorf, Adrienne Cardona, Suhaily Laboratory for Applied Remote Sensing and Image Processing Electrical and Computer Engineering Department University of Puerto Rico Mayagüez Campus

ISBN: (纸本)9780819471574

This paper presents a ground truth data collection effort along with its use in evaluating unmixing algorithms. Unmixing algorithms are typically evaluated using synthetic data generated by selecting endmember spectrums and adding them in different amounts and with added noise. Going from synthetic to real data poses many problems. One of the greatest is the amount of data to be collected. Also, there will be many unmodeled variations in real data. These include greater variation of the endmembers, additional endmembers that are a very small percentage of the image, and nonlinear effects in the data that are not modeled. The data collation effort produced a high resolution class map along with spectral measurements of 153 different sampling sites to validate the map. The methodology for using this high resolution class map for generating the ground truth data for use in the unmixing algorithms is presented. Specifically, a 1m class map is used to generate the endmember abundances for every pixel in a 30m Hyperion image of the Enrique Reef in Southwest Puerto Rico. The results using two unmixing algorithms, one with a sum to one constraint and the other with a non-negative constraint are presented. The unmixing results for each endmember are presented along with a newly developed unmixing parameter called the Correct Unmixing Index (CUI).

关键词： Data acquisition

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Block truncation signature coding for hyeprspectral analysis

Block truncation signature coding for hyeprspectral analysis

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Imaging Spectrometry XIII

作者： Chakravarty, Sumit Chang, Chein-I. Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD 21250 United States

ISBN: (纸本)9780819473066

This paper introduces a new signature coding which is designed based on the well-known Block Truncation Coding (BTC). It comprises of bit-maps of the signature blocks generated by different threshold criteria. Two new BTC-based algorithms are developed for signature coding, to be called Block Truncation Signature Coding (BTSC) and 2-level BTSC (2BTSC). In order to compare the developed BTC based algorithms with current binary signature coding schemes such as Spectral Program Analysis Manager (SPAM) developed by Mazer et al. and Spectral Feature-based Binary Coding (SFBC) by Qian et al, three different thresholding functions, local block mean, local block gradient, local block correlation are derived to improve the BTSC performance where the combined bit-maps generated by these thresholds can provide better spectral signature characterization. Experimental results reveal that the new BTC-based signature coding performs more effectively in characterizing spectral variations than currently available binary signature coding methods.

关键词： Managers

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Fundamental Uncertainty Rotationally Symmetric and Anamorphic Laser Triangulation

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电子学报(英文版) 2008年第1期17卷 8-11页

作者： WANG Lei GAO Jun WANG Xiaojia Johannes Eckstein Peter Ott Laboratory of Image Information Processing School of Computer and Information Hefei University of Technology Hefei 230009 China Optical Engineering Laboratory Heilbronn University Heilbronn 74081 Germany Department of Mechanical and Electrical Engineering Xiamen University Xiamen 361005 China

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Updated radiometric calibration for the Landsat-5 thematic mapper reflective bands

Updated radiometric calibration for the Landsat-5 thematic m...

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作者： Helder, Dennis L. Markham, Brian L. Thome, Kurtis J. Barsi, Julia A. Chander, Gyanesh Malla, Rimy Department of Electrical Engineering and Computer Science South Dakota State University Brookings SD 57007 United States Landsat Project Science Office NASA Goddard Space Flight Center Greenbelt MD 20771 United States Remote Sensing Group Optical Sciences Center University of Arizona Tucson AZ 85721 United States Science Systems and Applications Inc. NASA Goddard Space Flight Center Greenbelt MD 20771 United States Science Applications International Corporation U.S. Geological Survey Center for Earth Resources Observation and Science Sioux Falls SD 57198 United States Image Processing Laboratory South Dakota State University Brookings SD 57007 United States

The Landsat-5 Thematic Mapper (TM) has been the workhorse of the Landsat system. Launched in 1984, it continues collecting data through the time frame of this paper. Thus, it provides an invaluable link to the past history of the land features of the Earth's surface, and it becomes imperative to provide an accurate radiometric calibration of the reflective bands to the user community. Previous calibration has been based on information obtained from prelaunch, the onboard calibrator, vicarious calibration attempts, and cross-calibration with Landsat-7. Currently, additional data sources are available to improve this calibration. Specifically, improvements in vicarious calibration methods and development of the use of pseudoinvariant sites for trending provide two additional independent calibration sources. The use of these additional estimates has resulted in a consistent calibration approach that ties together all of the available calibration data sources. Results from this analysis indicate a simple exponential, or a constant model may be used for all bands throughout the lifetime of Landsat-5 TM. Where previously time constants for the exponential models were approximately one year, the updated model has significantly longer time constants in bands 1-3. In contrast, bands 4, 5, and 7 are shown to be best modeled by a constant. The models proposed in this paper indicate calibration knowledge of 5% or better early in life, decreasing to nearly 2% later in life. These models have been implemented at the U.S. Geological Survey Earth Resources Observation and Science (EROS) and are the default calibration used for all Landsat TM data now distributed through EROS. © 2008 IEEE.

关键词： Landsat

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Editorial: Knowledge engineering, semantics, and signal processing in audio - visual information retrieval

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IEEE Transactions on Circuits and Systems for Video Technology 2007年第3期17卷 257-258页

作者： Izquierdo, Ebroul Zhang, Jian Sikora, Thomas Huang, Thomas S. Department of Electrical Engineering Queen Mary University of London London El 4NS United Kingdom Sydney Australia School of Computer Science and Engineering University of New South Wales Australia Communication Systems Group Technical University Berlin Berlin Germany ITG University of Illinois at Urbana-Champaign United States Department of Electrical and Computer Engineering Coordinated Science Laboratory United States Image Formation and Processing Group Beckman Institute for Advanced Science and Technology United States Institute's Major Research Theme Human Computer Intelligent Interaction National Academy of Engineering Chinese Academies of Engineering and Sciences China International Association of Pattern Recognition Optical Society of American United States

No abstract available

关键词： Special issues and sections Knowledge engineering Information retrieval Audio-visual systems

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Web Document image Retrieval System Based on Word Spotting

Web Document Image Retrieval System Based on Word Spotting

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IEEE International Conference on image processing

作者： K. Zagoris N. Papamarkos C. Chamzas Image Processing and Multimedia Laboratory Department of Electrical & Computer Engineering Democritus University of Thrace Xanthi Greece

Nowadays, the huge non-indexing quantities of image archives (especially document images) require the development of intelligent tools for their retrieval with convenience comparable of the texts search engines. The proposed technique addresses the document retrieval problem by a word matching procedure. It performs matching directly in the images bypassing OCR and using word-images as queries. It is constituted of two different parts: The offline and the online operation. In the offline operation, the archive of document images is examined and the results are stored in a database. The online operation consists of the Web interface, the creation of the word's image and finally, the matching stage. The proposed matching process it can be described shortly as a two-threshold rating system. Finally, the proposed system has been build and it can be found in at the Web address: http://***/irs2.

关键词： image retrieval image databases Search engines optical character recognition software Information retrieval Feature extraction Spatial databases image processing Multimedia systems Laboratories

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Neighborhood aided implicit active contours

Neighborhood aided implicit active contours

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2006 IEEE computer Society Conference on computer Vision and Pattern Recognition, CVPR 2006

作者： Liu, Huafeng Chen, Yunmei Chen, Wufan Shi, Pengcheng State Key Laboratory of Modern Optical Instrumentation Zhejiang University Hangzhou China Department of Electrical and Electronic Engineering Hong Kong University of Science and Technology Clear Water Bay Hong Kong Hong Kong Department of Mathematics University of Florida Gainesville FL United States Key Laboratory of Medical Image Processing Southern Medical University Guangzhou China

ISBN: (纸本)0769525970

We have developed a geometric deformable model that employs neighborhood influence to achieve robust segmentation for noisy and broken edges. The fundamental power of this strategy rests with the explicitly combination of regional inter-point constraints, image forces, and a priori boundary information for each geometric contour point within its adaptively determined local influence domain. This formulation thus naturally unifies the essences of the geometric and parametric snakes through automatic local scale selection, and exhibits their respective fundamental strengths of allowing stable boundary detection when the edge information is weak and possibly discontinuous, while maintaining the abilities to handle topological changes during front evolution. In particular, this paper presents an implementation of the method through local integration of the level set function and the image/prior-driven evolution forces, where the resulting partial differential equation is solved numerically using standard finite difference method. Experimental results on synthetic and real images demonstrate its superior performance. © 2006 IEEE.

关键词： Edge detection

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A Key Frame Selection-Based Facial Expression Recognition System

A Key Frame Selection-Based Facial Expression Recognition Sy...

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International Conference on Innovative Computing, Information and Control (ICICIC)

作者： S.M. Guo Y.A. Pan Y.C. Liao C.Y. Hsu J.S.H. Tsai C.I. Chang Department of Computer Science and Information Engineering National Engineering Kung University Tainan Taiwan Department of Computer Science and Information Engineering National Cheng-Kung University Tainan Taiwan Republic of China Department of Computer Science and Electrical Engineering University of Maryland Baltimore County (UMBC) Baltimore MD U.S.A. National Cheng Kung University Tainan TW Department of Electrical Engineering National Engineering Kung University Tainan Taiwan Department of Electrical Engineering National Cheng-Kung University Tainan Taiwan Republic of China Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore Baltimore MD USA

Automatic recognition of facial expressions has received considerable interest in the computer vision. This paper presents a key frame selection-based system for recognition of four basic facial expressions: happiness, anger, sadness and surprise, in image sequences. The proposed new approach is designed for recognition of facial expressions via a key frame selection of the facial motion from an image sequence where an optical flow is used to determine changes in a facial expression, experimental results demonstrate that the proposed automatic recognition process significantly improves the computational complexity encountered in facial expression recognition while enhancing the ability of recognition

关键词： Face recognition Face detection image recognition image sequences Feature extraction Facial features computer science Remote sensing Signal processing image processing

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Three-dimensional optical remote sensing using optical scanning holography

Three-dimensional optical remote sensing using optical scann...

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Current Research on image processing for 3D Information Displays

作者： Poon, Ting-Chung Optical Image Processing Laboratory Bradley Department of Electrical and Computer Engineering Virginia Tech. Blacksburg VA 24061 United States

No abstract available

ISBN: (纸本)0819458066

No abstract available

关键词： optical heterodyning depth detection optical scanning holography optical remote sensing optical remote sensing optical scanning optical heterodyning Holography Targets

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