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International conference on Wireless and Optical communications Networks

作者： Vikas Gupta Rajesh Mahle Ashish Shukla H.O.D. of ECE Dept. TIT Rajiv Gandhi Technical University Bhopal M.P. India ECE Dept. TIT Rajiv Gandhi Technical University Bhopal M.P. India

ISBN: (纸本)9781467359986

Discrete wavelet transform (DWT) has gained widespread recognition and popularity in image processing due to its ability of capturing energy of signal in a few energy transform value. As well as it has also ability to underline and represent time-varying spectral properties of many transient and other nonstationary signals. In DWT denoising is done only in detail coefficient, this offer advantage of smoothness and adaption. However DWT has a lack of shift invariance. This shift-variance is a major problem with the use of DWT for transient signal analysis and pattern recognition applications. Denoising of images with the DWT some time also give visual artifacts due to Gibbs phenomena in neighbourhood of discontinuities. In this paper, a shift-invariant analysis scheme is proposed for removing of additive Gaussian noise in stationary image. An investigation has been made on discrete wavelet transform with shift invariant in terms of PSNR and visual performance.

关键词： PSNR (Peak signal to noise ratio) DWT (Discrete wavelet transform) ε- Decimated Discrete Wavelet Transform (ε- Decimated DWT) Shift Invariant wavelet transform

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Segmentation of cardiac MR images using - the EM algorithm with a 4D probabilistic atlas and a global connectivity filter

Segmentation of cardiac MR images using - the EM algorithm w...

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Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： M. Lorenzo-Valdes D. Rueckert R. Mohiaddin G.I. Sanchez-Ortiz Visual Information Processing group Department of Computing Imperial College London London UK Royal Brompton and Harefield NHS Trust London UK

In this paper an automatic atlas-based segmentation algorithm for 4D cardiac MR images is described. The algorithm is based on the 4D extension of the expectation maximisation (EM) algorithm. The EM algorithm uses a 4D probabilistic cardiac atlas to estimate the initial model parameters and to integrate spatially-varying a-priori information into the classification process. It provides space and time-varying probability maps for the left and right ventricle, the myocardium, and background structures such as the liver, stomach, lungs and skin. The segmentation algorithm also incorporates spatial and temporal contextual information by using 4D Markov Random Fields (MRF). After the classification, the largest connected component of each structure is used as a global connectivity filter that improves the results significantly, especially for the myocardium. Validation against manual segmentations and computation of the correlation between manual and automatic segmentation on 249 3D volumes were calculated. Results show that the procedure can successfully segment the left ventricle (LV) (r=0.96), myocardium (r=0.92) and right ventricle (RV) (r=0.92).

关键词： image segmentation Myocardium Markov random fields Iterative algorithms Maximum likelihood estimation Parameter estimation Information filtering Information filters Heart Magnetic resonance imaging

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Extended VQM model for predicting 3D video quality considering ambient illumination context

Extended VQM model for predicting 3D video quality consideri...

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3DTV conference

作者： G. Nur H. Kodikara Arachchi S. Dogan A. M. Kondoz I-Lab Multimedia Communications Research Centre of Vision Speech and Signal Processing University of Surrey Guildford Surrey UK

To speed-up the proliferation of advanced 3-Dimensional (3D) technologies into the consumer market, the influence of these technologies on the perception of 3D video should be determined. Currently, this can only be achieved using either subjective assessment techniques or 2D objective quality evaluation models. Even though the subjective assessment techniques are better than the objective models from the accuracy point of view, they are time consuming and costly. Thus, 2D objective quality evaluation models correlating with Human visual System (HVS) should be used to predict the 3D video quality perception of users in a reliable way with less effort. Video Quality Metric (VQM), which is a standardized 2D objective quality measurement model due to its well correlation with HVS, is used to predict 3D video quality perception of users reliably. However, ambient illumination context of the viewing environment, which has an effect on 3D video quality perception, is not considered in the quality assessments by VQM. Content adaptation is one of the key applications that need to use the perceived 3D quality assessments under different ambient illumination conditions at regular basis for ensuring improved video experience of users. Therefore, the standardized VQM model is extended using ambient illumination context and content related contexts (i.e., motion, structural feature, and luminance contrast) to predict 3D video quality measurement under a particular ambient illumination condition. The results prove that the extended VQM model can be efficiently utilized to predict the video quality perception of 3D video under a particular ambient illumination condition.

关键词： Three dimensional displays Lighting Solid modeling Context image color analysis Quality assessment Predictive models

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Deep learning-based Object Detection in Underwater communications System

Deep learning-based Object Detection in Underwater Communica...

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Electrical, Electronics, Information and Communication Technologies (ICEEICT), International conference on

作者： M. Siva Sangari K. Thangaraj U. Vanitha N. Srikanth J. Sathyamoorthy K. Renu Department of CSE KPR Institute of Engineering and Technology Coimbatore India Department of Information Technology Sona College of Technology Salem India Department of ECE Sri Krishna College of Engineering and Technology Coimbatore India Department of Electronics and Communication Technology SASI Institute of Technology and Engineering Tadepalligudem Andhra Pradesh India Department of CSE Bannari Amman Institute of Technology Erode India Department of EECE GST GITAM Deemed to be University Visakhapatnam -45 A.P India

Being at the nexus of robotics and ocean engineering, underwater robots have been a developing research area. They can be used for deep sea infrastructure inspections, oceanographic mapping, and environmental monitoring. Autonomous navigation skills are essential for doing these activities successfully, especially given the poor communication conditions in underwater locations. Autonomous navigation technologies, such as path planning and tracking, have been one of the fascinating but difficult issues in the field of study due to the extremely dynamic and three-dimensional settings. Due to their short detection ranges and poor visibility, cameras have not received much attention as an underwater sensor. However, using visual data from cameras is still a popular technique for underwater sensing, and it works particularly well for close-range detections. In this study, the enhancement of underwater vision is achieved by combining the max-RGB and shades of grey methods. Then, to solve the problem of poorly illuminated underwater images, a technique known as RCNN (Region-based Convolutional Neural Network) is proposed. This procedure tells the mapping relationship how to create the illumination map. Following image processing, an RCNN strategy for underwater detection and classification is recommended. Two improved strategies are then used to change the RCNN structure in accordance with the properties of underwater vision. In order to deal with the challenges of object tracking and detection in underwater communication, a correlation filter tracking algorithm (CFTA) method was created. The properties of the invariant moment and area were looked at after the object's region had been extracted using a threshold segment and morphological technique. The findings show that the suggested method is effective for underwater target tracking based on RCNN-CFTA in the aquatic environment. Simulated evaluation of these methods' performance demonstrates the potency of the suggested

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The Design of Temperature and Humidity Automatic Control System for the Supermarket Fruits and Vegetables

The Design of Temperature and Humidity Automatic Control Sys...

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2nd International conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)

作者： Biqing Li Zhao Li Hongyan Zhang School of Information and Communication Engineering Hezhou University Management Engineering Department Guangxi Vocational and Technical College of Communications

Temperature and humidity automatic control system is widely applied in various fields more and more gets the welcome of people, because it can greatly reduce the human resources, and it has the characteristics of highly efficient and accurate. the temperature and humidity automatic control system based on STC89 C52,Alarm module, GSM module,LCD1602 liquid crystal and the key threshold setting module.

关键词： Temperature and humidity automatic control STC89C52 Mobile terminal control LCD1602 liquid crystal

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Self-Awareness for Autonomous Systems

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PROCEEDINGS OF THE IEEE 2020年第7期108卷 971-975页

作者： Dutt, Nikil Regazzoni, Carlo S. Rinner, Bernhard Yao, Xin Nikil Dutt (Fellow IEEE) received the Ph.D. degree from the University of Illinois at Urbana–Champaign Champaign IL USA in 1989.""He is currently a Distinguished Professor of computer science (CS) cognitive sciences and electrical engineering and computer sciences (EECS) with the University of California at Irvine Irvine CA USA. He is a coauthor of seven books. His research interests include embedded systems electronic design automation (EDA) computer architecture distributed systems healthcare Internet of Things (IoT) and brain-inspired architectures and computing.""Dr. Dutt is a Fellow of ACM. He was a recipient of the IFIP Silver Core Award. He has received numerous best paper awards. He serves as the Steering Committee Chair of the IEEE/ACM Embedded Systems Week (ESWEEK). He is also on the steering organizing and program committees of several premier EDA and embedded system design conferences and workshops. He has served on the Editorial Boards for the IEEE Transactions on Very Large Scale Integration (VLSI) Systems and the ACM Transactions on Embedded Computing Systems and also previously served as the Editor-in-Chief (EiC) for the ACM Transactions on Design Automation of Electronic Systems. He served on the Advisory Boards of the IEEE Embedded Systems Letters the ACM Special Interest Group on Embedded Systems the ACM Special Interest Group on Design Automationt and the ACM Transactions on Embedded Computing Systems. Carlo S. Regazzoni (Senior Member IEEE) received the M.S. and Ph.D. degrees in electronic and telecommunications engineering from the University of Genoa Genoa Italy in 1987 and 1992 respectively.""He is currently a Full Professor of cognitive telecommunications systems with the Department of Electrical Electronics and Telecommunication Engineering and Naval Architecture (DITEN) University of Genoa and a Co-Ordinator of the Joint Doctorate on Interactive and Cognitive Environments (JDICE) international Ph.D. course started initially as EU Erasmus Mundus Project and

Autonomous systems are able to make decisions and potentially take actions without direct human intervention, which requires some knowledge about the system and its environment as well as goal-oriented reasoning. In computer systems, one can derive such behavior from the concept of a rational agent with autonomy (“control over its own actions”), reactivity (“react to events from the environment”), proactivity (“act on its own initiative”), and sociality (“interact with other agents”) as fundamental properties \n[1]\n. Autonomous systems will undoubtedly pervade into our everyday lives, and we will find them in a variety of domains and applications including robotics, transportation, health care, communications, and entertainment to name a few. \nThe articles in this month’s special issue cover concepts and fundamentals, architectures and techniques, and applications and case studies in the exciting area of self-awareness in autonomous systems.

关键词： Special issues and sections Autonomous systems Self-aware Robot sensing systems Computational modeling

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The Implementation of Temperature and Humidity Automatic Control System for the Supermarket Fruits and Vegetables

The Implementation of Temperature and Humidity Automatic Con...

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2nd International conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)

作者： Biqing Li Zhao Li Hongyan Zhang School of Information and Communication Engineering He Zhou University Management Engineering Department Guangxi Vocational and Technical College of Communications

By setting the detection threshold of temperature and humidity, inspection of the supermarket counters, temperature and humidity environment safety,and display the upper and lower threshold and temperature and humidity data at the time through LCD1602, realize compare the temperature and humidity data has be test, if the data is beyond the security threshold, GSM module send text messages to the user, cell phone, and automatic control the environment adjust module to adjust temperature and humidity environment, the user can also control environment adjust module through mobile. This design has the ability to process the data, high precision, applicable widely, etc.

关键词： Temperature and humidity automatic control STC89C52 Mobile terminal control LCD1602 liquid crystal

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Parallel positive Boolean function approach to classification of remote sensing images

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Journal of Applied Remote Sensing 2011年第1期5卷 051505-051505页

作者： Chang, Yang-Lang Hsieh, Tung-Ju Plaza, Antonio Chen, Yen-Lin Liang, Wen-Yew Fang, Jyh-Perng Huang, Bormin National Taipei University of Technology Department of Electrical Engineering No. 1 Chung-Hsiao E. Road Taipei 10608 Taiwan National Taipei University of Technology Department of Computer Science and Information Engineering No. 1 Chung-Hsiao E. Road Taipei 10608 Taiwan University of Extremadura Department of Technology of Computers and Communications Escuela Politecnica 10003 Caceres Spain University of Wisconsin-Madison Cooperative Institute for Meteorological Satellite Studies Space Science and Engineering Center Madison WI 53706 United States

We present a parallel image classification approach, referred to as the parallel positive Boolean function (PPBF), to multisource remote sensing images. PPBF is originally from the positive Boolean function (PBF) classifier scheme. The PBF multiclassifier is developed from a stack filter to classify specific classes of land covers. In order to enhance the efficiency of PBF, we propose PPBF to reduce the execution time using parallel computing techniques. PPBF fully utilizes the significant parallelism embedded in PBF to create a set of PBF stack filters on each parallel node based on different classes of land uses. It is implemented by combining the message-passing interface library and the open multiprocessing (OpenMP) application programing interface in a hybrid mode. The experimental results demonstrate that PPBF significantly reduces the computational loads of PBF classification. © 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).

关键词： Message passing

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Calendar

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Journal of visual Communication in Medicine 2010年第2期33卷 52-52页

A calendar of conferences from May 2010 to January 2011 is presented which includes the Biocommunications Association/Health Sciences communications Association (HESCA) conference in Boston, Massachusetts in June 2-6, the 65th annual meeting of the Association of Medical Illustrators in Oregon in July 28 to August 1, and the Imaging Science and Technology - Electronic Imaging conference in California in January 23-27.

关键词： MEDICAL personnel MEDICAL illustration DIGITAL image processing MEDICAL illustrators SOCIETIES, etc. CONGRESSES

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Medical image enhancement using histogram equalization techniques

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AIP conference Proceedings 2023年第1期2591卷

作者： Zobeda Hatif Naji AL-Azzawi Wisam Hayder Mahdi Shaimaa Khamees Ahmed Waqas Saad Yasin 1Department of Computer Engineering College of Engineering University of Diyala Iraq 2Department of Communications Engineering College of Engineering University of Diyala Iraq

Due to the rapid development in digital technology, image enhancement has become a necessity to extract data and use it in many fields that may be medical, agricultural security, and many other fields. There are many image enhancement technique used in image processing. The proposed method have been presented in this paper attempt to improve the performance of histogram equalization with different kind of medical image by using Gaussian filter and gamma where combined together to improve the illumination, contrast of images ,reduce the noise, and also improve image quality coefficients. Try to measure the entropy of image and compare the result of output image with input image and to give desired result. The quality coefficients for the medical images processed with the HE and Gaussian filter and Gamma with certain value, according to the scientific proof. When the image quality was improved, the visual perception was improved.

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