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3-D Bayesian ultrasound breast image segmentation using the EM/MPM algorithm

3-D Bayesian ultrasound breast image segmentation using the ...

引用

IEEE International Symposium on Biomedical Imaging

作者： L.A. Christopher E.J. Delp C.R. Meyer P.L. Carson Video and Image Processing Laboratory School of Electrical and Computer Engineering Purdue University West Lafayette IN USA Department of Radiology University of Michigan Ann Arbor MI USA

In this paper, ultrasound breast image segmentation is improved by using the volumetric data available in neighboring slices. The new algorithm extends the EM/MPM framework to 3D by including pixels from neighboring frames in the Markov Random Field (MRF) clique. In addition, this paper describes a unique linear cost factor introduced in the optimization loop to compensate for the attenuation common to ultrasound images.

关键词： Bayesian methods Ultrasonic imaging Breast image segmentation Markov random fields Magnetic resonance imaging Acoustic noise image processing Cost function Attenuation

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Normal mammogram classification based on regional analysis

Normal mammogram classification based on regional analysis

引用

Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Yajie Sun C.F. Babbs E.J. Delp Video and Image Processing Laboratory School of Electrical and Computer Engineering Purdue University West Lafayette IN USA Department of Basic Medical Sciences School of Veterinary Medicine Purdue University West Lafayette IN USA

The majority of screening mammograms are normal. It will be beneficial if a detection system is designed to help radiologists readily identify normal regions of mammograms. In this paper, we will present a binary tree classifier based on the use of global features extracted from different levels of a 2-D Quincunx wavelet decomposition of normal and abnormal regional images. This classifier is then used to classify whether an entire whole-field mammogram is normal. This approach is fundamentally different from other approaches that identify a particular abnormality in that is independent of the particular type of abnormality.

关键词： Feature extraction Cancer detection Classification tree analysis Mammography Lesions Biomedical imaging Decision trees image databases Sun image processing

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Transmit power allocation for an extended V-BLAST system

Transmit power allocation for an extended V-BLAST system

引用

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Seung Hoon Nam Kwang Bok Lee Pattern Recognition and Image Processing Laboratory Samsung Advanced Institute of Science and Technology Suwon South Korea School of Electrical Engineering and Computer Science Seoul National University Seoul South Korea

ISBN: (纸本)0780375890

Vertical Bell Laboratories Layered Space-Time (V-BLAST) is a promising system that realizes the enormous capacity of multiple-input multiple-output (MIMO) communications. We present an extension of V-BLAST, and propose an effective transmit power allocation scheme for the extended system. The proposed transmit power allocation scheme minimizes the bit error rate (BER) averaged over all detection stages, and requires small feedback overhead from the receiver to the transmitter. Simulation results show that the extended V-BLAST system with the proposed transmit power allocation scheme provides a significant reduction in the BER compared to the conventional V-BLAST system. When the minimum mean square error (MMSE) nulling is adopted, the extended V-BLAST system is found to achieve the BER performance comparable to that of the maximum likelihood (ML) detection for the conventional V-BLAST architecture.

关键词： Bit error rate MIMO Feedback Transmitters Maximum likelihood detection Transmitting antennas Space technology computer science Mean square error methods Information theory

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Text scanner with text detection technology on image sequences

Text scanner with text detection technology on image sequenc...

引用

International Conference on Pattern Recognition

作者： Keechul Jung Kwang In Kim T. Kurata M. Kourogi JungHyun Han Pattern Recognition and Image Processing Laboratory Michigan State University USA Artificial Intelligence Laboratory KAIST South Korea National Institute for Advanced Industrial Science and Technology Japan School of Electrical and Computer Engineering Sung Kyun Kwan University South Korea

ISBN: (纸本)076951695X

We propose a text scanner which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron. To provide enhanced resolution of the extracted text images, we perform the text detection process after generating a mosaic image in a fast and robust image registration method.

关键词： image sequences Layout image registration Cameras Parameter estimation Videos Pixel image processing Robustness Optical character recognition software

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An overview of security issues in streaming video

An overview of security issues in streaming video

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International Conference on Information Technology: Coding and Computing (ITCC)

作者： E.T. Lin G.W. Cook P. Salama E.J. Delp Video and Image Processing Laboratory(VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA Department of Electrical and Computer Engineering Purdue School of Engineering and Technology Purdue University Indiana University Indianapolis IN USA

The article describes some of the security issues in streaming video over the Internet. If high quality video sequences are to be delivered to computers and digital television systems over the Internet in our "di... 详细信息

ISBN: (纸本)0769510620

关键词： Streaming media Video compression Bandwidth Internet Protection Decoding Security Video sequences IP networks Authentication

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Model-based face tracking for dense motion field estimation

Model-based face tracking for dense motion field estimation

引用

Applied imagery Pattern Recognition Workshop (AIPR)

作者： T.F. Gee R.M. Mersereau Image Science and Machine Vision Group Oak Ridge National Laboratory Oak Ridge TN USA School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

ISBN: (纸本)0769512453

When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since optical flow algorithms generally use a small spatial area in the determination of each motion vector the resulting motion field can be noisy, particularly if the input video sequence is noisy. If the moving subject is known to be a face, then we may use that constraint to improve the motion field results. This paper describes a method for deriving dense motion field data using a face tracking approach. A face model is manually initialized to fit a face at the beginning of the input sequence. Then a Kalman filtering approach is used to track the face movements and successively fit the face model to the face in each frame. The 2D displacement vectors are calculated from the projection of the facial model, which is allowed to move in 3D space and may have a 3D shape. We have experimented with planar, cylindrical, and Candide face models. The resulting motion field is used in multiple frame restoration of a face in noisy video.

关键词： Tracking Motion estimation Video sequences Optical filters image motion analysis Optical noise Kalman filters Filtering Shape Multi-stage noise shaping

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Multimodality image registration and fusion using neural network

Multimodality image registration and fusion using neural net...

引用

3rd International Conference on Information Fusion, FUSION 2000

作者： Mostafa, Mostafa G. Farag, Aly A. Essock, Edward Computer Vision and Image Processing Laboratory Department of Electrical and Computer Engineering University of Louisville Louisville KY 40292 United States Department of Psychology University of Louisville Louisville KY 40292 United States

ISBN: (纸本)2725700000

Multi-modality image registration and fusion are essential steps in building 3D models from remote sensing data. In this paper, we present a neural network technique for the registration and fusion of multi-modality remote sensing data for the reconstruction of 3D models of terrain regions. A feedforward neural network is used to fuse the intensity data sets with the spatial data set after learning its geometry. Results on real data are presented. Human performance evaluation is assessed on several perceptual tests in order to evaluate the fusion results. © 2000 Int. Soc. Inf. Fusion.

关键词： image fusion

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Multimedia security: Does signal processing have a place in securing the digital world?

Multimedia security: Does signal processing have a place in ...

引用

European Signal processing Conference (EUSIPCO)

作者： Edward J. Delp Video and Image Processing Laboratory School of Electrical and Computer Engineering Purdue University West Lafayette Indiana

With the recent growth of networked multimedia systems, techniques are needed to prevent (or at least deter) the illegal copying, forgery and distribution of digital media elements such as audio, images and video. The problem is that a copy of a media element is identical to the original. It is also desirable to determine where and by how much a multimedia element has been changed from the original. One classical approach to the problem of protecting "digital content" has been the use of cryptographic methods such as encryption and authentication. Recently other methods have been proposed to improve one's claim of ownership over a digital media element by inserting a small amount of distortion directly into the media element. This distortion, known as a digital watermark, can be used to uniquely identify the owner of the content. Digital watermarking research is mainly the domain of the signal processing community that is very naive when considering real world security problems. Also the attitude of the academic community that it has the "right" to copy and reproduce any multimedia element is curious at best and perhaps conveys the wrong message to our students. The use of the "Lena" image is a good example of this. In this talk I will survey the current state of multimedia security and describe important research issues. I will also express some concern that perhaps we in the signal processing community might want to understand the "security scenario" before making grandiose claims about how our latest watermarking technique will save the world!

关键词： Multimedia communication Media Signal processing Watermarking Communities Streaming media

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Multimodality image registration and fusion using neural network

Multimodality image registration and fusion using neural net...

引用

International Conference on Information Fusion

作者： M.G. Mostafa A.A. Farag E. Essock Department of Electrical and Computer Engineering Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA Department of Psychology University of Louisville Louisville KY USA

关键词： image registration Neural networks Hyperspectral sensors Remote sensing image reconstruction Geometry Remote monitoring Intelligent sensors Satellites Laser radar

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A rate-distortion approach to wavelet-based encoding of predictive error frames

A rate-distortion approach to wavelet-based encoding of pred...

引用

IEEE International Conference on image processing

作者： E. Asbun P. Salama E.J. Delp Video and Image Processing Laboratory School of Electrical and Computer Engineering Purdue University West Lafayette IN USA Department of Electrical and Computer Engineering Purdue School of Engineering and Technology Indiana University-Purdue University Indianapolis Indianapolis IN USA

We develop a framework for efficiently encoding predictive error frames (PEF) as part of a rate scalable, wavelet-based video compression algorithm. We investigate the use of rate-distortion analysis to determine the significance of coefficients in the wavelet decomposition. Based on this analysis, we allocate the bit budget assigned to a PEF to the coefficients that yield the largest reduction in distortion, while maintaining the embedded and rate scalable properties of our video compression algorithm.

关键词： Rate-distortion Encoding image coding Video compression computer errors Redundancy Wavelet analysis Decoding Scalability Transform coding

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