Computer Vision For X Ray Testing

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Computer Vision for X-Ray Testing

Author : Domingo Mery,Christian Pieringer
Publisher : Springer Nature
Page : 473 pages
File Size : 43,6 Mb
Release : 2020-12-21
Category : Computers
ISBN : 9783030567699

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Computer Vision for X-Ray Testing by Domingo Mery,Christian Pieringer Pdf

[FIRST EDITION] This accessible textbook presents an introduction to computer vision algorithms for industrially-relevant applications of X-ray testing. Features: introduces the mathematical background for monocular and multiple view geometry; describes the main techniques for image processing used in X-ray testing; presents a range of different representations for X-ray images, explaining how these enable new features to be extracted from the original image; examines a range of known X-ray image classifiers and classification strategies; discusses some basic concepts for the simulation of X-ray images and presents simple geometric and imaging models that can be used in the simulation; reviews a variety of applications for X-ray testing, from industrial inspection and baggage screening to the quality control of natural products; provides supporting material at an associated website, including a database of X-ray images and a Matlab toolbox for use with the book’s many examples.

Computer Vision for X-Ray Testing

Author : Domingo Mery
Publisher : Unknown
Page : 128 pages
File Size : 41,7 Mb
Release : 2015
Category : Electronic
ISBN : 3319207482

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Computer Vision for X-Ray Testing by Domingo Mery Pdf

This accessible textbook presents an introduction to computer vision algorithms for industrially-relevant applications of X-ray testing. Covering complex topics in an easy-to-understand way, without requiring any prior knowledge in the field, the book provides a concise review of the key methodologies in computer vision for solving important problems in industrial radiology. The theoretical coverage is supported by numerous examples, each of which can be tested and evaluated by the reader using a freely-available Matlab toolbox and X-ray image database. Topics and features: Introduces the mathematical background for monocular and multiple view geometry, which is commonly used in X-ray computer vision systems Describes the main techniques for image processing used in X-ray testing, including image filtering, edge detection, image segmentation and image restoration Presents a range of different representations for X-ray images, explaining how these enable new features to be extracted from the original image Examines a range of known X-ray image classifiers and classification strategies, and techniques for estimating the accuracy of a classifier Discusses some basic concepts for the simulation of X-ray images, and presents simple geometric and imaging models that can be used in the simulation Reviews a variety of applications for X-ray testing, from industrial inspection and baggage screening to the quality control of natural products Provides supporting material at an associated website, including a database of X-ray images and a Matlab toolbox for use with the book's many examples This classroom-tested and hands-on guide is ideal for graduate and advanced undergraduate students interested in the practical application of image processing, pattern recognition and computer vision techniques for non-destructive quality testing and security inspection.

Pattern Recognition and Computer Vision

Author : Shiqi Yu,Zhaoxiang Zhang,Pong C. Yuen,Junwei Han,Tieniu Tan,Yike Guo,Jianhuang Lai,Jianguo Zhang
Publisher : Springer Nature
Page : 752 pages
File Size : 42,8 Mb
Release : 2022-10-27
Category : Computers
ISBN : 9783031189166

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Pattern Recognition and Computer Vision by Shiqi Yu,Zhaoxiang Zhang,Pong C. Yuen,Junwei Han,Tieniu Tan,Yike Guo,Jianhuang Lai,Jianguo Zhang Pdf

The 4-volume set LNCS 13534, 13535, 13536 and 13537 constitutes the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2022, held in Shenzhen, China, in November 2022. The 233 full papers presented were carefully reviewed and selected from 564 submissions. The papers have been organized in the following topical sections: Theories and Feature Extraction; Machine learning, Multimedia and Multimodal; Optimization and Neural Network and Deep Learning; Biomedical Image Processing and Analysis; Pattern Classification and Clustering; 3D Computer Vision and Reconstruction, Robots and Autonomous Driving; Recognition, Remote Sensing; Vision Analysis and Understanding; Image Processing and Low-level Vision; Object Detection, Segmentation and Tracking.

Computer Vision – ACCV 2018 Workshops

Author : Gustavo Carneiro,Shaodi You
Publisher : Springer
Page : 541 pages
File Size : 47,8 Mb
Release : 2019-06-18
Category : Computers
ISBN : 9783030210748

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Computer Vision – ACCV 2018 Workshops by Gustavo Carneiro,Shaodi You Pdf

This LNCS workshop proceedings, ACCV 2018, contains carefully reviewed and selected papers from 11 workshops, each having different types or programs: Scene Understanding and Modelling (SUMO) Challenge, Learning and Inference Methods for High Performance Imaging (LIMHPI), Attention/Intention Understanding (AIU), Museum Exhibit Identification Challenge (Open MIC) for Domain Adaptation and Few-Shot Learning, RGB-D - Sensing and Understanding via Combined Colour and Depth, Dense 3D Reconstruction for Dynamic Scenes, AI Aesthetics in Art and Media (AIAM), Robust Reading (IWRR), Artificial Intelligence for Retinal Image Analysis (AIRIA), Combining Vision and Language, Advanced Machine Vision for Real-life and Industrially Relevant Applications (AMV).

Computer Vision – ACCV 2020

Author : Hiroshi Ishikawa,Cheng-Lin Liu,Tomas Pajdla,Jianbo Shi
Publisher : Springer Nature
Page : 720 pages
File Size : 54,8 Mb
Release : 2021-02-25
Category : Computers
ISBN : 9783030695446

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Computer Vision – ACCV 2020 by Hiroshi Ishikawa,Cheng-Lin Liu,Tomas Pajdla,Jianbo Shi Pdf

The six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.* The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; segmentation and grouping Part II: low-level vision, image processing; motion and tracking Part III: recognition and detection; optimization, statistical methods, and learning; robot vision Part IV: deep learning for computer vision, generative models for computer vision Part V: face, pose, action, and gesture; video analysis and event recognition; biomedical image analysis Part VI: applications of computer vision; vision for X; datasets and performance analysis *The conference was held virtually.

Proceedings of IncoME-V & CEPE Net-2020

Author : Dong Zhen,Dong Wang,Tianyang Wang,Hongjun Wang,Baoshan Huang,Jyoti K. Sinha,Andrew David Ball
Publisher : Springer Nature
Page : 949 pages
File Size : 44,8 Mb
Release : 2021-05-15
Category : Technology & Engineering
ISBN : 9783030757939

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Proceedings of IncoME-V & CEPE Net-2020 by Dong Zhen,Dong Wang,Tianyang Wang,Hongjun Wang,Baoshan Huang,Jyoti K. Sinha,Andrew David Ball Pdf

This volume gathers the latest advances, innovations and applications in the field of condition monitoring, plant maintenance and reliability, as presented by leading international researchers and engineers at the 5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network (IncoME-V & CEPE Net-2020), held in Zhuhai, China on October 23-25, 2020. Topics include vibro-acoustics monitoring, condition-based maintenance, sensing and instrumentation, machine health monitoring, maintenance auditing and organization, non-destructive testing, reliability, asset management, condition monitoring, life-cycle cost optimisation, prognostics and health management, maintenance performance measurement, manufacturing process monitoring, and robot-based monitoring and diagnostics. The contributions, which were selected through a rigorous international peer-review process, share exciting ideas that will spur novel research directions and foster new multidisciplinary collaborations.

Encyclopedia of Aluminum and Its Alloys, Two-Volume Set (Print)

Author : George E. Totten,Murat Tiryakioglu,Olaf Kessler
Publisher : CRC Press
Page : 2957 pages
File Size : 41,6 Mb
Release : 2018-12-07
Category : Science
ISBN : 9781351045629

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Encyclopedia of Aluminum and Its Alloys, Two-Volume Set (Print) by George E. Totten,Murat Tiryakioglu,Olaf Kessler Pdf

This encyclopedia, written by authoritative experts under the guidance of an international panel of key researchers from academia, national laboratories, and industry, is a comprehensive reference covering all major aspects of metallurgical science and engineering of aluminum and its alloys. Topics covered include extractive metallurgy, powder metallurgy (including processing), physical metallurgy, production engineering, corrosion engineering, thermal processing (processes such as metalworking and welding, heat treatment, rolling, casting, hot and cold forming), surface engineering and structure such as crystallography and metallography.

Pattern Recognition and Computer Vision

Author : Jian-Huang Lai,Cheng-Lin Liu,Xilin Chen,Jie Zhou,Tieniu Tan,Nanning Zheng,Hongbin Zha
Publisher : Springer
Page : 589 pages
File Size : 45,9 Mb
Release : 2018-11-01
Category : Computers
ISBN : 9783030033989

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Pattern Recognition and Computer Vision by Jian-Huang Lai,Cheng-Lin Liu,Xilin Chen,Jie Zhou,Tieniu Tan,Nanning Zheng,Hongbin Zha Pdf

The four-volume set LNCS 11056, 110257, 11258, and 11073 constitutes the refereed proceedings of the First Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018, held in Guangzhou, China, in November 2018. The 179 revised full papers presented were carefully reviewed and selected from 399 submissions. The papers have been organized in the following topical sections: Part I: Biometrics, Computer Vision Application. Part II: Deep Learning. Part III: Document Analysis, Face Recognition and Analysis, Feature Extraction and Selection, Machine Learning. Part IV: Object Detection and Tracking, Performance Evaluation and Database, Remote Sensing.

Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications

Author : Nor Muzlifah Mahyuddin,Nor Rizuan Mat Noor,Harsa Amylia Mat Sakim
Publisher : Springer Nature
Page : 1124 pages
File Size : 48,9 Mb
Release : 2022-02-11
Category : Technology & Engineering
ISBN : 9789811681295

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Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications by Nor Muzlifah Mahyuddin,Nor Rizuan Mat Noor,Harsa Amylia Mat Sakim Pdf

The proceeding is a collection of research papers presented at the 11th International Conference on Robotics, Vision, Signal Processing & Power Applications (RoViSP 2021). The theme of RoViSP 2021 “Enhancing Research and Innovation through the Fourth Industrial Revolution (IR 4.0)” served as a platform for researchers, scientists, engineers, academicians as well as industrial professionals from all around the globe to present and exchange their research findings and development activities through oral presentations. The book covers various topics of interest, including: Robotics, Control, Mechatronics and Automation Telecommunication Systems and Applications Electronic Design and Applications Vision, Image and Signal Processing Electrical Power, Energy and Industrial Applications Computer and Information Technology Biomedical Engineering and Applications Intelligent Systems Internet-of-things Mechatronics Mobile Technology

Pattern Recognition and Artificial Intelligence

Author : Yue Lu,Nicole Vincent,Pong Chi Yuen,Wei-Shi Zheng,Farida Cheriet,Ching Y. Suen
Publisher : Springer Nature
Page : 752 pages
File Size : 53,8 Mb
Release : 2020-10-09
Category : Computers
ISBN : 9783030598303

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Pattern Recognition and Artificial Intelligence by Yue Lu,Nicole Vincent,Pong Chi Yuen,Wei-Shi Zheng,Farida Cheriet,Ching Y. Suen Pdf

This book constitutes the proceedings of the Second International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2020, which took place in Zhongshan, China, in October 2020. The 49 full and 14 short papers presented were carefully reviewed and selected for inclusion in the book. The papers were organized in topical sections as follows: handwriting and text processing; features and classifiers; deep learning; computer vision and image processing; medical imaging and applications; and forensic studies and medical diagnosis.

Computer Vision Technology in the Food and Beverage Industries

Author : D-W Sun
Publisher : Elsevier
Page : 528 pages
File Size : 48,8 Mb
Release : 2012-08-13
Category : Computers
ISBN : 9780857095770

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Computer Vision Technology in the Food and Beverage Industries by D-W Sun Pdf

The use of computer vision systems to control manufacturing processes and product quality has become increasingly important in food processing. Computer vision technology in the food and beverage industries reviews image acquisition and processing technologies and their applications in particular sectors of the food industry. Part one provides an introduction to computer vision in the food and beverage industries, discussing computer vision and infrared techniques for image analysis, hyperspectral and multispectral imaging, tomographic techniques and image processing. Part two goes on to consider computer vision technologies for automatic sorting, foreign body detection and removal, automated cutting and image analysis of food microstructure. Current and future applications of computer vision in specific areas of the food and beverage industries are the focus of part three. Techniques for quality control of meats are discussed alongside computer vision in the poultry, fish and bakery industries, including techniques for grain quality evaluation, and the evaluation and control of fruit, vegetable and nut quality. With its distinguished editor and international team of expert contributors, Computer vision technology in the food and beverage industries is an indispensible guide for all engineers and researchers involved in the development and use of state-of-the-art vision systems in the food industry. Discusses computer vision and infrared techniques for image analysis, hyperspectral and multispectral imaging, tomographic techniques and image processing Considers computer vision technologies for automatic sorting, foreign body detection and removal, automated cutting and image analysis of food microstructure Examines techniques for quality control and computer vision in various industries including the poultry, fish and bakery, fruit, vegetable and nut industry

Deep Learning Applications: In Computer Vision, Signals And Networks

Author : Qi Xuan,Yun Xiang,Dongwei Xu
Publisher : World Scientific
Page : 309 pages
File Size : 53,8 Mb
Release : 2023-03-21
Category : Computers
ISBN : 9789811266928

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Deep Learning Applications: In Computer Vision, Signals And Networks by Qi Xuan,Yun Xiang,Dongwei Xu Pdf

This book proposes various deep learning models featuring how deep learning algorithms have been applied and used in real-life settings. The complexity of real-world scenarios and constraints imposed by the environment, together with budgetary and resource limitations, have posed great challenges to engineers and developers alike, to come up with solutions to meet these demands. This book presents case studies undertaken by its contributors to overcome these problems. These studies can be used as references for designers when applying deep learning in solving real-world problems in the areas of vision, signals, and networks.The contents of this book are divided into three parts. In the first part, AI vision applications in plant disease diagnostics, PM2.5 concentration estimation, surface defect detection, and ship plate identification, are featured. The second part introduces deep learning applications in signal processing; such as time series classification, broad-learning based signal modulation recognition, and graph neural network (GNN) based modulation recognition. Finally, the last section of the book reports on graph embedding applications and GNN in AI for networks; such as an end-to-end graph embedding method for dispute detection, an autonomous System-GNN architecture to infer the relationship between Apache software, a Ponzi scheme detection framework to identify and detect Ponzi schemes, and a GNN application to predict molecular biological activities.

Artificial Intelligence Research

Author : Edgar Jembere,Aurona J. Gerber,Serestina Viriri,Anban Pillay
Publisher : Springer Nature
Page : 345 pages
File Size : 52,7 Mb
Release : 2022-01-29
Category : Computers
ISBN : 9783030950705

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Artificial Intelligence Research by Edgar Jembere,Aurona J. Gerber,Serestina Viriri,Anban Pillay Pdf

This book constitutes the refereed proceedings of the Second Southern African Conference on Artificial Intelligence Research, SACAIR 2021, held in Durban, South Africa, in December 2021. Due to the COVID-19 pandemic the SACAIR 2021 was held online. The 22 papers presented were thoroughly reviewed and selected from the 70 submissions. They are organized on the topical sections on ​AI in the humanities and society, AI in and for information systems, computer vision and image processing, deep learning, knowledge representation and reasoning, machine learning, philosophy and ethics of AI.

Computer Vision in Medical Imaging

Author : Chi-hau Chen
Publisher : World Scientific
Page : 410 pages
File Size : 45,6 Mb
Release : 2013-11-18
Category : Medical
ISBN : 9789814460941

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Computer Vision in Medical Imaging by Chi-hau Chen Pdf

The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.

Pattern Recognition

Author : Huimin Lu,Michael Blumenstein,Sung-Bae Cho,Cheng-Lin Liu,Yasushi Yagi,Tohru Kamiya
Publisher : Springer Nature
Page : 439 pages
File Size : 45,9 Mb
Release : 2023-12-06
Category : Computers
ISBN : 9783031476372

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Pattern Recognition by Huimin Lu,Michael Blumenstein,Sung-Bae Cho,Cheng-Lin Liu,Yasushi Yagi,Tohru Kamiya Pdf

This three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.