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An efficient YCgCo-based image compression algorithm for capsule endoscopy

An efficient YCgCo-based image compression algorithm for cap...

引用

14th International Conference on computer and Information Technology, ICCIT 2011

作者： Mostafa, Atahar Wahid, Khan Ko, Seok-Bum Multimedia Processing and Prototyping Lab. Department of Electrical and Computer Engineering University of Saskatchewan Saskatoon SK Canada

ISBN: (纸本)9781612849065

An efficient YCgCo color space based image compression algorithm for the capsule endoscopy application is presented in this paper. The algorithm is developed taking the advantage of the special characteristics of the endoscopic images and the energy compaction capabilities of the YCgCo color plane. The compression scheme provides high reconstruction image quality (PSNR of over 52dB) and competitive compression ratio (over 80%). The algorithm uses integer-based forward transform followed by a simple implementation-friendly quantization stage that requires less hardware cost, and thus is suitable for power limited wireless capsule endoscope systems. © 2011 IEEE.

关键词： image compression

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Efficient implementation of adaptive LZW algorithm for medical image compression

Efficient implementation of adaptive LZW algorithm for medic...

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14th International Conference on computer and Information Technology, ICCIT 2011

作者： Tajallipour, R. Wahid, Khan Multimedia Processing and Prototyping Lab. Department of Electrical and Computer Engineering University of Saskatchewan Saskatoon SK Canada

ISBN: (纸本)9781612849065

The paper presents an efficient adaptive Lempel-Ziv-Welch (LZW) data compression algorithm for medical image compression applications. The encoder is based on custom-sized library and custom-valued threshold where both the size of the library and the threshold parameters are adjusted by the user. The algorithm is compared with other existing compression schemes applicable to medical imaging. Because of the adaptive nature, the output of encoder can be controlled as per the bandwidth requirement of the data transmission and storage capacity. The simulation is carried out on several medical and endoscopic images and the results show that a compression ratio of 94% can be achieved with a reconstruction quality of 40 dB. The estimated energy consumption is 21.6mJ for a 256x256 color image with a frame rate of 2fps. © 2011 IEEE.

关键词： Adaptive algorithms

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A Method for Estimating Access Delay Distribution in IEEE 802.11 Networks

A Method for Estimating Access Delay Distribution in IEEE 80...

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2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

作者： Ehsan Haghani Michael N. Krishnan Avideh Zakhor Video and Image Processing Lab Department of Electrical Engineering and Computer Science University of California Berkeley USA

The volume of multimedia traffic over wireless networks has been steadily increasing over the past decade. Unlike web browsing applications, multimedia data needs to satisfy stringent delay requirements since late packets are as good as lost packets. In this paper, we present a framework for the nodes in 802.11 networks to estimate the distribution of uplink access delay in Distributed Coordination Function (DCF) MAC mechanism using locally available information. The access delay for a packet is defined as the time between the packet arriving at the head of line of MAC queue, and its ACK being received. In our proposed framework, each node periodically records channel occupancy information to estimate the distribution of access delay. We use NS-2 simulations to verify the accuracy of our proposed approach.

关键词： Delay Peer to peer computing Bismuth IEEE 802.11 Standards Tin Radiation detectors Random variables

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FOOD TEXTURE DESCRIPTORS BASED ON FRACTAL AND LOCAL GRADIENT INFORMATION

FOOD TEXTURE DESCRIPTORS BASED ON FRACTAL AND LOCAL GRADIENT...

引用

European Signal processing Conference

作者： Marc Bosch Fengqing Zhu Nitin Khanna Carol J. Boushey Edward J. Delp Video and Image Processing Lab (VIPER) School of Electrical and Computer Engineering Department of Foods and Nutrition Purdue University

This work is motivated by the desire to use image analysis methods to identify and characterize images of food items to aid in dietary assessment. This paper introduces three texture descriptors for texture classification that can be used to classify images of food. Two are based on the multifractal analysis, namely, entropy-based categorization and fractal dimension estimation (EFD), and a Gabor-based image decomposition and fractal dimension estimation (GFD). Our third texture descriptor is based on the spatial relationship of gradient orientations (GOSDM), by obtaining the occurrence rate of pairs of gradient orientations at different neighborhood scales. The proposed methods are evaluated in texture classification and food categorization tasks using the entire Brodatz database and a customized food dataset with a wide variety of textures. Results show that for food categorization our methods consistently outperform several widely used techniques for both texture and object categorization.

关键词： Fractals Feature extraction Entropy Estimation computer vision Databases Vectors

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A fuzzy framework with prior information unifying registration, segmentation and bias field correction of brain MRI

A fuzzy framework with prior information unifying registrati...

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IEEE International Conference on image processing

作者： Moumen El-Melegy Hashim Mokhtar Aly A. Farag Electrical Engineering Department Assiut University Asyut Egypt Computer Vision and Image Processing Lab University of Louisville KY USA

This paper introduces a fuzzy framework for the simultaneous segmentation and registration in addition to bias field correction of MRI datasets. The framework utilizes prior information which may be available about the tissues' mean intensities and tissues' distribution through the datasets. Moreover it works on the given, original image intensities without any logarithmic transformation and thus produces more accurate results and faster performance. The algorithm is evaluated using simulated and real brain MRI data. The results show that the algorithm has indeed improved the segmentation accuracy.

关键词： image segmentation Magnetic resonance imaging Accuracy Frequency control Joints Conferences

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Finding protein active sites using approximate sub-graph isomorphism

Finding protein active sites using approximate sub-graph iso...

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Middle East Conference on Biomedical engineering (MECBME)

作者： Mohammad Ebrahim Abbasi Dezfouli Seyed Shahriar Arab Emad Fatemizadeh Najmeh Hosseynimanesh Electrical Engineering Department BiSIPL (Biomedical Image and Signal Processing Lab) Sharif University of Technology Tehran Iran School of Computer Science Institute for Research in Fundamental Sciences Tehran Iran

Prediction of the amino acids that have a catalytic effect on the enzymes is a major stage in appointing the activity of the enzymes and classification. The biological activity of a protein usually depends on the existence of a small number of amino acids. Recently, many algorithms have been proposed in the literature for finding these amino acids which are complex and time consuming. In this paper, we will introduce a new method for predicting the active sites that will use the spatial coordinates and the type of amino acids that contain the active sites. In order to increase the speed we use an approximate graph isomorphism algorithm. Furthermore, this algorithm allows us to find several active sites for a protein and order them according to a RMSD (Root Mean Square Deviation) number which has several applications in biology.

关键词： Proteins Amino acids Approximation algorithms Protein engineering Classification algorithms Databases

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Traffic speed measurement using Spatio-Temporal model and frequency domain analysis

Traffic speed measurement using Spatio-Temporal model and fr...

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International Conference on electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON

作者： Arucha Rungchokanun Vutipong Areekul Supakorn Siddhichai Hiroaki Kunieda Kasetsart Signal & Image Processing Laboratory (KSIP Lab) Department of Electrical Engineering Kasetsart University Thailand Image Technology Laboratory National Electronics and Computer Technology Center Pathum Thani Thailand Department of Communication and Integrated Systems Tokyo Institute of Technology Meguro Tokyo Japan

In traffic monitoring applications, traffic speed is an important parameter of traffic management. The method for traffic speed measurement using video based on Spatio-Temporal (ST) model and frequency domain analysis is proposed in this paper. This method is designed to be able to measure the traffic speed in every pattern of road. The novel of proposed method is unfolding the edge information on ST model and analyse them in frequency domain to determine traffic speed. The proposed method is evaluated by compare with actual speed. The traffic speed is measured accurately 97.1%.

关键词： Analytical models Sensors Pixel image sensors Monitoring

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Text extraction using document structure features and support vector machines

Text extraction using document structure features and suppor...

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11th IASTED International Conference on computer Graphics and Imaging, CGIM 2010

作者： Zagoris, Konstantinos Papamarkos, Nikos Image Processing and Multimedia Laboratory Department of Electrical and Computer Engineering Democritus University of Thrace 67100 Xanthi Greece

ISBN: (纸本)9780889868243

In order to successfully locate and retrieve document images such as technical articles and newspapers, a text localization technique must be employed. The proposed method detects and extracts homogeneous text areas in document images indifferent to font types and size by using connected components analysis to detect blocks of foreground objects. Next, a descriptor that consists of a set of structural features is extracted from the merged blocks and used as input to a trained Support Vector Machines (SVM). Finally, the output of the SVM classifies the block as text or not.

关键词： Support vector machines

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Hybrid DWT-DCT algorithm for biomedical image and video compression applications

Hybrid DWT-DCT algorithm for biomedical image and video comp...

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International Conference on Information Science, Signal processing and Their Applications

作者： Shrestha, Suchitra Wahid, Khan Multimedia Processing and Prototyping Lab Department of Electrical and Computer Engineering University of Saskatchewan SK Canada

ISBN: (纸本)9781424471676

Digital image and video in their raw form require an enormous amount of storage capacity. Considering the important role played by digital imaging and video in medical and health science, it is necessary to develop a system that produces high degree of compression while preserving critical image/video information. In this paper, we present a hybrid algorithm that performs the discrete cosine transform on the discrete wavelet transform coefficients. Simulation has been carried out on several medical and endoscopic images and videos. The results show that the proposed hybrid algorithm performs much better in term of peak-signal-to-noiseratio with a higher compression ratio compared to standalone DCT and DWT algorithms. The scheme is intended to be used as the image/video compressor engine in medical imaging and video applications, such as, telemedicine and wireless capsule endoscopy. © 2010 IEEE.

关键词： image compression

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Inferring image transformation and structure from motion-blurred images

Inferring image transformation and structure from motion-blu...

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2010 21st British Machine Vision Conference, BMVC 2010

作者： Chandramouli, Paramanand Rajagopalan, A.N. Image Processing and Computer Vision Lab. Department of Electrical Engineering Indian Institute of Technology Madras Chennai India

ISBN: (纸本)1901725405

This paper deals with the problem of estimating structure of 3D scenes and image transformations from observations that are blurred due to unconstrained camera motion. Initially, we consider a fronto-parallel planar scene and relate the reference image of the scene to its motion-blurred observation by finding the reference image transformations. The blur kernel at every image point can be determined from these transformations. For 3D scenes, the extent of blurring in the image is related to the camera motion as well as the scene structure. We propose a technique to estimate the scene depth with the knowledge of the estimated image transformations. The proposed method is validated by testing on real and synthetic experiments. © 2010. The copyright of this document resides with its authors.

关键词： Cameras

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