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XCONF - A NETWORK-BASED image CONFERENCING SYSTEM

COMPUTERS AND BIOMEDICAL research 1993年第1期26卷 1-27页

作者： LEMKIN, PF Image Processing Section Laboratory of Mathematical Biology National Cancer Institute DCBDC Frederick Cancer Research and Development Center Building 469 Room 150B Frederick Maryland 21702

People often need to get together to share and discuss small amounts of image and textual data, but this is difficult when they are not located in the same place. One solution to this problem is Xconf, a multimedia computer conferencing groupware tool using existing national and international networks (the Internet). Simultaneous conferencing supports real-time interaction between multiple remote computer displays. Xconf multimedia may include conversational text, images, pointers to objects in images, and group execution of programs. Conferencing may take place with or without images. Interaction is tightly coupled with all users aware of global changes to the shared session and alternatively, individuals may monitor a specific subgroup of other users to concentrate on what they are discussing. Collaborative groups who have access to both computer networks and networked based X-Window System graphics displays can participate in a conference. Xconf is an X-Window "client" program which provides multimedia conferencing support for a group of X-Window displays. Because it is centralized, no software other than the standard X Window System is required on any of the participants display systems. Key data structures and algorithms for image conferencing are present.

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Interest point based tracking

Interest point based tracking

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2010 20th International Conference on Pattern Recognition, ICPR 2010

作者： Kloihofer, Werner Kampel, Martin Research and Development Image Processing Center Communication Systems GmbH Vienna Austria Computer Vision Lab. Vienna University of Technology Vienna Austria

ISBN: (纸本)9780769541099

This paper deals with a novel method for object tracking. In the first step interest points are detected and feature descriptors around them are calculated. Sets of known points are created, allowing tracking based on point matching. The set representation is updated online at every tracking step. Our method uses one-shot learning with the first frame, so no offline and no supervised learning is required. Following an object recognition based approach there is no need for a background model or motion model, allowing tracking of abrupt motion and with non-stationary cameras. We compare our method to MeanShift and Tracking via Online Boosting, showing the benefits of our approach. © 2010 IEEE.

关键词： Object detection

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Character Extraction and Recognition for Myanmar Script Signboard images using Block based Pixel Count and Chain Codes 17

Character Extraction and Recognition for Myanmar Script Sign...

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17th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2018

作者： Zaw, Kyi Pyar Kyu, Zin Mar Research and Development Image Processing Lab University of Computer Studies Mandalay Mandalay Myanmar Faculty of Computer Science University of Computer Studies Mandalay Mandalay Myanmar

ISBN: (纸本)9781538658925

This paper presents a very simple and efficient method for the text extraction and recognition of the Myanmar text from color natural signboard images taken by a mobile phone camera. Text extraction, line segmentation, character segmentation and recognition are the important steps in text understanding from natural signboard images. In this system, the color enhancement is firstly processed to overcome various illumination conditions. Background noises on the binary images are removed by four filtering features such as color threshold based filtering, aspect ratio based filtering, boundary based filtering and region area based filtering. After removing the noise, line segmentation and character segmentation are done. Horizontal projection profile is used for line segmentation and vertical projection profile and bounding box methods are used to segment the characters. These connected component characters are recognized by using 4×4 blocks based pixel density and total chain codes, 4-rows based pixel density, 4-columns based pixel density and count of eight directions chain code on the whole character image and on each block of character image. This system is investigated by feature based approach of template matching, and 83.15% character recognition accuracy is achieved on 2854 correctly extracted characters from 150 camera-captured Myanmar warning signboards. © 2018 IEEE.

关键词： Character recognition

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Lvlnet: Lightweight left ventricle localizer using encoder-decoder neural network

Lvlnet: Lightweight left ventricle localizer using encoder-d...

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2019 Novel Intelligent and Leading Emerging Sciences Conference, NILES 2019

作者： Abdelrauof, Dina Essam, Mina Elattar, Mustafa Intixel Co. S.A.E. Research and Development Division Cairo Egypt Medical Imaging and Image Processing Group Nile University Nile University Giza Egypt

ISBN: (纸本)9781728131733

Automatic localization of the left ventricle (LV) is an important preprocessing step in any further analysis or quantification of LV function. Also, LV localization is usually done manually by MRI operator to plan Cardiac Magnetic Resonance Imaging (Cardiac MR) acquisition which can be standardized and automated to reduce the operator's error. In this study, we propose LVLNET;an automatic left ventricle localization approach;which utilizes a lightweight encoder-decoder-like convolutional neural network (CNN). We evaluated our proposed method using three different and independent datasets. The proposed method has estimated the region of interest of the left ventricle with an accuracy of 88% covering more than 90% of the left ventricle voxels. Also, the median distance between the real and estimated centers was 1.12 [0.61-2.38] mm. With the reported results, it is shown that our proposed method had overcome most of the badly annotated images however, considering dynamic movement through series timeframes would boost the resulted accuracy. © 2019 IEEE.

关键词： Magnetic resonance imaging

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Time-recursive motion estimation using dynamical models for motion prediction

Time-recursive motion estimation using dynamical models for ...

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International Conference on Pattern Recognition

作者： K.-P. Karmann Siemens AG Corporate Research and Development Information and Knowledge Processing Image Processing Munchen Germany

The author describes a time-recursive method for motion estimation that utilizes dynamical models for object motion to predict the positions and motion parameters of all objects at future times. The predicted positions and motion vectors are used to reduce the search space of a segment matching step, which serves to measure the object displacements by comparing object positions in consecutive frames. The predicted positions and motion vectors are corrected by the use of the measured displacements during a measurement update step, in which corrected positions and motion vectors are computed. The method has been applied to several tracking problems (traffic monitoring and intrusion protection) and yielded excellent results during simulations on a general-purpose computer.< >

关键词： Motion estimation Displacement measurement Motion measurement Position measurement Predictive models Traffic control Computerized monitoring Protection Computational modeling Computer simulation

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Performance analysis of a weighted max CFAR processor

Performance analysis of a weighted max CFAR processor

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2008 International Radar Symposium, IRS

作者： Mansouri, H. Hamadouche, M. Youcef Ettoumi, F. Magaz, B. Image Processing and Radar Laboratory University of Science and Technology Houari Boumediene Algiers Algeria Electronic Department Ecole Nationale Polytechnique Algiers Algeria Research and Development Center Algiers Algeria

In this paper, we study the performances of a novel CFAR in homogeneous environment. This processor consists to take maximum power of cells in the reference windows and multiply it by a coefficient α (α

ISBN: (纸本)8372076219

关键词： Gaussian noise (electronic)

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On the Bayesian approach to image reconstruction

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Information and Control 1979年第1期42卷 60-71页

作者： Herman, Gabor T. Hurwitz, Henry Lent, Arnold Lung, Hsi-Ping Medical Image Processing Group Department of Computer Science The State University of New York at Buffalo Amherst NY 14226 United States General Electric Company Research and Development Center Schenectady NY United States

A new iterative method is proposed for finding the optimal Bayesian estimate of an unknown image from its projection data (experimentally obtained integrals of its grayness over thin strips). Convergence of the method is proved and its performance is illustrated. The method compares favorably with previously proposed procedures. © 1979 Academic Press, Inc.

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Numerical modeling on pulse discharge for a high power fast-axial-flow CO2 laser

Numerical modeling on pulse discharge for a high power fast-...

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Modeling and Simulation of Higher-Power Laser Systems IV

作者： Peng, Xiaoyuan Li, Shimin Xu, Lei National Engineering Research Center for Laser Processing Huazhong University of Science and Technology Wuhan 430074 China Image Technology and Development Company Huazhong University of Science and Technology Wuhan 430074 China

The numerical modeling on pulse discharge for a high power carbon-dioxide laser was developed to describe and predict laser operating characteristics. The influence of turbulence and convection on the output of a high power fast axial flow carbon-dioxide laser is especially considered in this paper. An obvious requirement is that the pulse has a precisely specified time shape in order to obtain well-controlled optical pulse. The active medium is described by assuming a five-temperature model and balancing the quantum densities of vibrational states of the CO2 and N2 molecules. The conclusions are very helpful to realize pulse operation in cw carbon-dioxide lasers, especially in the laser equipment which is applied to drilling, welding and cutting. ©2004 Copyright SPIE - The International Society for Optical Engineering.

关键词： Numerical models

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Subwavelength diffraction gratings with curved grooves to form cylindrical vector beams of different orders 4

Subwavelength diffraction gratings with curved grooves to fo...

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4th International Conference on Information Technology and Nanotechnology, ITNT 2018

作者： Degtyarev, S.A. Khonina, S.N. Samara National Research University Moskovkoye Shosse 34 Samara443086 Russia Image Processing Systems Institute of the RAS Branch of the Crystallography and Photonics Federal Research and Development Center of the RAS Molodogvardeyskaya 151 Samara443001 Russia

In this work we propose a method to calculate the continuous profile of subwavelength gratings for the formation of vector beams with radial polarization of arbitrary orders, including fractional orders. Also, we derive expressions for the vector of subwavelength grating which transforms a linearly polarized beam into a beam with the radial polarization of an arbitrary order. Also, we determine a relation between a vector of the curved diffraction grating and phase function of the grating. Equations of curves of fast and slow axes of crystal polarizer are found in this work. It is revealed that curve crystal axes have the shape of parabolas and it is also shown that fast and slow axes are perpendicular to each other at each point of space. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： Diffraction gratings

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Multi-center, Multi-vendor, and Multi-disease Cardiac image Segmentation Using Scale-Independent Multi-gate UNET 11th

Multi-center, Multi-vendor, and Multi-disease Cardiac Image ...

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11th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2020 held in Conjunction with MICCAI 2020

作者： Saber, Mina Abdelrauof, Dina Elattar, Mustafa Research and Development Division Intixel Co. S.A.E. Cairo Egypt Medical Imaging and Image Processing Group Information Technology and Computer Science School Nile University Giza Egypt

ISBN: (纸本)9783030681067

Heart segmentation in Cardiac MRI images is a fundamental step to quantify myocardium global function. In this paper, we introduce a pipeline for heart localization and segmentation that is fast and robust even in the apical slices that have small myocardium. Also, we propose an enhancement to the popular U-Net architecture for segmentation. The proposed method utilizes the aggregation of different feature scales from the image by using the inception block along with the multi-gate block that propagates the multi-scale context of the supplied data where the heart is subject to changes in scale, contrast and resolution due to the different imaging parameters from different vendor images. The model is trained using the data provided in Multi-center, Multi-vendor, and Multi-Disease Cardiac image Segmentation Challenge (M&Ms challenge) with no prior training or transfer learning. The model achieved an average dice of 90%,84.5%, and 82.5% for the left ventricle blood pool, right ventricle, and Myocardium respectively. Moreover, the proposed pipeline took an average inference time of 0.0022 s per image when running on NVIDIA GTX 1080 TI GPU. © 2021, Springer Nature Switzerland AG.

关键词： Magnetic resonance imaging

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