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LOW-RANK APPROXIMATION OF MATRICES vIA A RANK-REvEALING FACTORIZATION WITH RANDOMIZATION

LOW-RANK APPROXIMATION OF MATRICES VIA A RANK-REVEALING FACT...

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IEEE International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Kaloorazi, Maboud Farzaneh Chen, Jie Northwestern Polytech Univ Sch Marine Sci & Technol Ctr Intelligent Acoust & Immers Commun CIAIC Xian Shaanxi Peoples R China

ISBN: (纸本)9781509066315

Given a matrix A with numerical rank k, the two-sided orthogonal decomposition (TSOD) computes a factorization A = UDvT, where U and v are unitary, and D is (upper/lower) triangular. TSOD is rank-revealing as the middle factor D reveals the rank of A. The computation of TSOD, however, is demanding, especially when a low-rank representation of the input matrix is desired. To treat such a case efficiently, in this paper we present an algorithm called randomized pivoted TSOD (RP-TSOD) that constructs a highly accurate approximation to the TSOD decomposition. Key in our work is the exploitation of randomization, and we furnish (i) upper bounds on the error of the low-rank approximation, and (ii) bounds for the canonical angles between the approximate and the exact singular subspaces, which take into account the randomness. Our bounds describe the characteristics and behavior of our proposed algorithm. We validate the effectiveness of our proposed algorithm and devised bounds with synthetic data as well as real data of image reconstruction problem.

关键词： low-rank approximation randomized numerical linear algebra rank-revealing factorization image recovery

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Colour image comparison using vector operators

Colour image comparison using vector operators

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International conference on Computational Intelligence for Modelling, Control and Automation/International conference on Intelligent Agents Web Technologies and International Commerce

作者： van der Weken, D. De Witte, v. Nachtegael, M. Schulte, S. Kerre, E. Univ Ghent Fuzziness & Uncertainty Modelling Krijgslaan 281 S9 B-9000 Ghent Belgium

ISBN: (纸本)0769525040

In [8] we constructed several new fuzzy similarity measures for greyscale images that outperform the classical measures of comparison, like Root Mean Square Error or Peak Signal to Noise Ratio, in the sense of image quality evaluation. In this paper we investigate the usefulness of similarity measures for the comparison of colour images. Instead of applying the similarity measures for greyscale images component-wise, we will extend the similarity measures to colour images by applying vector morphological operators [4]. We will restrict ourselves to an investigation in the RGB colour space.

关键词： image processing

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Estimation Of Coronary Length-volume Allometric Relations Of Human Arteries Invivo Using CT

Estimation Of Coronary Length-Volume Allometric Relations Of...

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32nd Annual International conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10)

作者： Casciaro, Mariano E. Craiem, Damian Graf, Sebastian Gurfinkel, Enrique P. Armentano, Ricardo L. Favaloro Univ Av Belgrano 1723 RA-1093 Buenos Aires DF Argentina Favaloro Fdn MSCT Unit RA-1093 Buenos Aires DF Argentina Consejo Nacl Invest Cient & Tecn Buenos Aires DF Argentina

ISBN: (纸本)9781424441242

Assessing the individual geometry of the coronary arteries in a patient can help to explain diffuse artery disease. Some allometric functions, relating arterial length and volume, were verified in porcine arteries and human autopsies but not in vivo. In this work we use skeletonization methods on MSCT images to render the whole coronary tree in healthy and cardiovascular patients. Twenty patients with and without coronary artery disease were recruited. The coronary was segmented with minimum user intervention. vessels were separated and measured. A 3D coronary map was individually calculated. The allometric length-volume function L=k(v)v(beta) was evaluated in each patient and plotted in a Log-Log scale. The coefficient k(v) ranged 1.00 +/- 0.35. Slopes ranged beta = 0.69-0.88 and seemed to overlap in the scatter Log plot. The analysis of covariance verified this perception and concluded that lines were parallel. In other words, the allometric function stood for all patients. values were not different from other studies in humans and pigs. The combination of multislice CT with morphological extraction algorithms was effective to extract allometric functions from coronary arteries in patients and can be easily applied in the clinic.

关键词： 3D coronary map CT Log-Log scale arterial length arterial volume blood vessels cardiovascular patients cardiovascular system computerised tomography coronary artery disease coronary length-volume allometric relations covariance analysis covariance analysis diffuse artery disease diseases feature extraction human arteries human autopsies image reconstruction image segmentation image segmentation medical image processing morphological extraction algorithms perception porcine arteries skeletonization methods

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image Analysis and processing II 1

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1000年

作者： v. Cantoni v. Gesù S. Levialdi

ISBN: (数字)9781461310075

ISBN: (纸本)9780306429019;9781461282891

This book contains the proceedings of the 4th International conference on Data Analysis and processing held in Cefalu' (Palermo, ITALY) on September 23-25 1987. The aim of this conference, now at its fourth edition, was to give a general view of the actual research in the area of methods and systems for achieving artificial vision as well as to have an up-dated information of the current activity in Europe. A number of invited speakers presented overviews of statistical classification problems and methods, non conventional archi tectures, mathematical morphology, robotic vision, analysis of range images in vision systems, pattern matching algorithms and astronomical data processing. Finally a survey of the discussion on the contribution of AI to image Analysis is given. The papers presented at the conference have been subdivided in four sections: knowledge based approaches, basic pattern recognition tools, multi features system based solutions, image analysis-applications. We must thank the IBM-Italia and the Digital Equipment Corpo ration for sponsoring this conference. We feel that the days spent at Cefalu' were an important step toward the mutual exchange of scientific information within the image processing community. v. Cantoni Pavia University v. Di Gesu' Palermo University S. Levialdi Rome University v CONTENTS INvITED LECTURES . • • • • . • • • 3 morphological Optics.

关键词： Computer Imaging, vision, Pattern Recognition and Graphics Electrical Engineering

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visible structures highlighting model analysis aimed at object image detection problem 4

Visible structures highlighting model analysis aimed at obje...

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4th International conference on Information Technology and Nanotechnology - Session: image processing and Earth Remote Sensing, IPERS-ITNT 2018

作者： Saifudinov, I.R. Mokshin, v.v. Tutubalin, P.I. Sharnin, L.M. Hohlov, D.G. Kazan National Research Technical University Named after A. N. Tupolev-KAI Karl Marx str. 10 Kazan420111 Russia

The research considers an approach to solving the problem of reducing the data processed in mobile platforms oriented video-analytic systems. Different models of human visual attention has been analyzed and also classified according to the image segmentation. The results obtained are presented in the form of the method used for isolating the borders of the most significant object in the image. They are based on the optimization the length and curvature values of the object borders. This approach allows to filter significant structures in the image and process them with the help of image segmentation techniques. The method was evaluated according to usage the accuracy criterion along with other methods in delineation of boundaries: threshold value, morphological processing and watershed. Software and hardware system for registering dump trucks has been improved. It gives the possibility to automatize the process of registration dump trucks, training them during the construction of roads. © 2018 CEUR-WS. All rights reserved.

关键词： Object detection

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2-D sizing of sodium oxalate crystals by automated optical image analysis

2-D sizing of sodium oxalate crystals by automated optical i...

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Particle Technology and Mineral processing Sessions/conference on Chemeca

作者： Bekker, A. v. McShane, J. vassallo, D. Bedell, D. Li, T. S. Livk, I. CSIRO Proc Sci & Engn Parker CRC Integrated Hydromet Solut Karawara WA 6152 Australia

A new automated static optical image analysis (SOIA) method was developed for characterising the shape of sodium oxalate crystals by separately measuring their length and width. The automated size analysis combines crystal image acquisitioning with a custom-developed numerical algorithm for morphological analysis of crystals. The automation of the two main measuring steps enables characterisation of a large number of crystals ensuring statistically meaningful results. As part of the numerical algorithm, a rectangularity-based morphological filter was implemented to eliminate overlapping crystals and crystal networks. The developed optical sizing technique has a low detection limit of 0.25 mu m, which is close to the theoretical resolution of optical microscopy. It is demonstrated that the new automated SOIA sizing technique is very sensitive in identifying oxalate crystals of different shape. The measured crystal size distributions are compared to those obtained by an AccuSizer sizing instrument to confirm that they are consistent with the measurements obtained by a conventional crystal sizing instrument. Crown Copyright (C) 2012 The Society of Powder Technology Japan. Published by Elsevier B.v. All rights reserved.

关键词： Sodium oxalate crystals Crystal shape morphological filter Aspect ratio Rectangularity

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Automatic segmentation of chromatographic images for region of interest delineation

Automatic segmentation of chromatographic images for region ...

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conference on Medical Imaging 2011 - image processing

作者： Mendonca, Ana M. Sousa, Antonio v. Sa-Miranda, M. Clara Campilho, Aurelio C. Univ Porto Inst Biomed Engn Rua Dr Roberto Frias S-N P-4200465 Oporto Portugal Univ Porto Fac Engn P-4200465 Porto Portugal Inst Politecn Porto Inst Super Engn P-4200487 Porto Portugal Inst Biol Mol & Celular P-4150180 Porto Portugal

ISBN: (纸本)9780819485045

This paper describes a segmentation method for automating the region of interest (ROI) delineation in chromatographic images, thus allowing the definition of the image area that contains the fundamental information for further processing while excluding the frame of the chromatographic plate that does not contain relevant data for disease identification. This is the first component of a screening tool for Fabry disease, which will be based on the automatic analysis of the chromatographic patterns extracted from the image ROI. image segmentation is performed in two phases, where each individual pixel is finally considered as frame or ROI. In the first phase, an unsupervised learning method is used for classifying image pixels into three classes: frame, ROI or unknown. In the second phase, distance features are used for deciding which class the unknown pixels belong to. The segmentation result is post-processed using a sequence of morphological operators in order to obtain the final ROI rectangular area. The proposed methodology was successfully evaluated in a dataset of 41 chromatographic images.

关键词： image segmentation Region of interest delineation Chromatographic images Fabry disease

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Recognition and analysis of Tamil inscriptions and mapping using image processing techniques 2

Recognition and analysis of Tamil inscriptions and mapping u...

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2nd International conference on Science Technology Engineering and Management, ICONSTEM 2016

作者： Janani, G. vishalini, v. Mohan Kumar, P. Department of Information Technology Jeppiaar Engineering College Chennai India

ISBN: (纸本)9781509017065

The most important necessity in image processing lies in the conversion of ancient Tamil characters to modern text. The ancient Tamil stone inscriptions are the source for these ancient Tamil characters. Analysing and Recognising the ancient Tamil characters from the scripts called inscriptions is a difficult task for the present generation who learn to educate, read and write only through the modern Tamil characters. Learning the elaboration of Modern Tamil from ancient Tamil inscriptions is a time devouring process and thus we need a recognition system that helps to teach, understand and also to research the ancient cultures and heritages. To design a good comprehend and better analysing system we propose a method called noise removal which is also called as pre-processing which removes the entire disturbance in the input image. Next we use a method called morphological operation to perform dilation and erosion operations. Next step is to use the connected component to find the letters which are present in the binary image. Finally we will segment each and every character and match it with our current Tamil language using a process called correlation matching to produce the result of matching characters. © 2016 IEEE.

关键词： Binary images

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Minimum Time Delay and More Efficient image Filtering Brain Tumour Detection with the help of MATLAB 9

Minimum Time Delay and More Efficient Image Filtering Brain ...

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9th IEEE International conference on Communication and Signal processing, ICCSP 2020

作者： Sahu, Yogesh Kumar Pandey, Chanki Biswas, Preesat Khan, M.R. Rathore, Shanti Government Engineering College Jagdalpur India Dr. C.V. Raman University Bilashpur India ETT Government Engineering College Jagdalpur India

ISBN: (数字)9781728149882

ISBN: (纸本)9781728149882

Brain tumor detection is one of the intriguing task in the medical field still now. Earlier they uses pneumoencephalography and cerebral angiography had the drawback, CT and MRI scan techniques with the help of surgeons to providing a higher quality result in image processing. It is difficulty in distinguishing between brain tumor tissue and normal tissue because it was similar in color. Hence Brain tumor must be analyzed more precisely in order to cure it. In this paper Tumor Detection with help of MATLAB image processing catches three stages Pre-processing, processing and Post-processing in morphological detection. After the getting MRI report first stage is pre-processing which is converting the original RGB image to gray-scale image and then Gaussian high pass filter for noise reduction In the second stage processing system for pixel enhancement we uses Median filter and in third stage is the post-processing which Entropy Filter., Standard Deviation Filter(SDF), Weiner Filter, Gradient Magnitude, Regional Maxima for various different-different results. In this post processing which is followed by algorithm not only automatically create report but also very less delay time and get better brain tumor detection more efficient. © 2020 IEEE.

关键词： Entropy

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Street light data acquisition using vLSI based object recognition

Street light data acquisition using VLSI based object recogn...

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2016 IEEE International conference on Computational Intelligence and Computing Research, ICCIC 2016

作者： Chakrapani, D.N.B. Naveen Kumar, v. Padma Sai, Y. Archana Bhange, K. Department of ECE VNR Vignana Jyothi Institute of Engineering and Technology Hyderabad Telangana State India

ISBN: (纸本)9781509006113

Street light monitoring is a vital and inevitable process to avoid night time accidents, criminal activities and thefts etc., In existing systems, the monitoring of street lights rely on man power or sensors which are not reliable and time consuming. Further sudden failure of the lights during night is very difficult to identify manually. Hence, this paper presents a summary of our work on implementation of an image processing technique for monitoring and fault identification of street lights. The image of the street lights can be taken by either a CC Camera or a camera mounted on Unmanned Aerial vehicle (UAv). Then that image is processed with various image processing techniques like morphological analysis, object recognition, geometrical feature analysis and distance calculation method etc., in MATLAB environment. Further the binary data of the processed image from the MATLAB environment is simulated on vLSI using Xilinx ISE Design Suite. The results of the simulation are exactly matching with the real status of the corresponding street lights. © 2016 IEEE.

关键词： Antennas

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