Practical Applications And Use Cases Of Computer Vision And Recognition Systems

Author : Chiranji Lal Chowdhary
Publisher :
ISBN 13 : 9781799849247
Total Pages : 300 pages
Book Rating : 4.44/5 ( download)

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Download or read book Practical Applications and Use Cases of Computer Vision and Recognition Systems written by Chiranji Lal Chowdhary and published by . This book was released on 2020 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book contains research on the methods and modern uses of recognition and machine vision technologies in the real world"--

Author : Margarita N. Favorskaya
Publisher : Springer Nature
ISBN 13 : 3030391779
Total Pages : 183 pages
Book Rating : 4.75/5 ( download)

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Download or read book Computer Vision in Control Systems—6 written by Margarita N. Favorskaya and published by Springer Nature. This book was released on 2020-02-08 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book attempts to improve algorithms by novel theories and complex data analysis in different scopes including object detection, remote sensing, data transmission, data fusion, gesture recognition, and edical image processing and analysis. The book is directed to the Ph.D. students, professors, researchers, and software developers working in the areas of digital video processing and computer vision technologies.

Author : C H Chen
Publisher : World Scientific
ISBN 13 : 9814460958
Total Pages : 412 pages
Book Rating : 4.58/5 ( download)

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Download or read book Computer Vision in Medical Imaging written by C H Chen and published by World Scientific. This book was released on 2013-11-18 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Contents:An Introduction to Computer Vision in Medical Imaging (Chi Hau Chen)Theory and Methodologies:Distribution Matching Approaches to Medical Image Segmentation (Ismail Ben Ayed)Digital Pathology in Medical Imaging (Bikash Sabata, Chukka Srinivas, Pascal Bamford and Gerardo Fernandez)Adaptive Shape Prior Modeling via Online Dictionary Learning (Shaoting Zhang, Yiqiang Zhan, Yan Zhou and Dimitris Metaxas)Feature-Centric Lesion Detection and Retrieval in Thoracic Images (Yang Song, Weidong Cai, Stefan Eberl, Michael J Fulham and David Dagan Feng)A Novel Paradigm for Quantitation from MR Phase (Joseph Dagher)A Multi-Resolution Active Contour Framework for Ultrasound Image Segmentation (Weiming Wang, Jing Qin, Pheng-Ann Heng, Yim-Pan Chui, Liang Li and Bing Nan Li)2D, 3D Reconstructions/Imaging Algorithms, Systems & Sensor Fusion:Model-Based Image Reconstruction in Optoacoustic Tomography (Amir Rosenthal, Daniel Razansky and Vasilis Ntziachristos)The Fusion of Three-Dimensional Quantitative Coronary Angiography and Intracoronary Imaging for Coronary Interventions (Shengxian Tu, Niels R Holm, Johannes P Janssen and Johan H C Reiber)Three-Dimensional Reconstruction Methods in Near-Field Coded Aperture for SPECT Imaging System (Stephen Baoming Hong)Ultrasound Volume Reconstruction based on Direct Frame Interpolation (Sergei Koptenko, Rachel Remlinger, Martin Lachaine, Tony Falco and Ulrich Scheipers)Deconvolution Technique for Enhancing and Classifying the Retinal Images (Uvais A Qidwai and Umair A Qidwai)Medical Ultrasound Digital Signal Processing in the GPU Computing Era (Marcin Lewandowski)Developing Medical Image Processing Algorithms for GPU Assisted Parallel Computation (Mathias Broxvall and Marios Daotis)Specific Image Processing and Computer Vision Methods for Different Imaging Modalities Including IVUS, MRI, etc.:Computer Vision in Interventional Cardiology (Kendall R Waters)Pattern Classification of Brain Diffusion MRI: Application to Schizophrenia Diagnosis (Ali Tabesh, Matthew J Hoptman, Debra D'Angelo and Babak A Ardekani)On Compressed Sensing Reconstruction for Magnetic Resonance Imaging (Benjamin Paul Berman, Sagar Mandava and Ali Bilgin)On Hierarchical Statistical Shape Models with Application to Brain MRI (Juan J Cerrolaza, Arantxa Villanueva and Rafael Cabeza)Advanced PDE-based Methods for Automatic Quantification of Cardiac Function and Scar from Magnetic Resonance Imaging (Durco Turco and Cristiana Corsi)Automated IVUS Segmentation Using Deformable Template Model with Feature Tracking (Prakash Manandhar and Chi Hau Chen) Readership: Researchers, professionals and academics in machine perception/computer vision, pattern recognition/image analysis, nuclear medicine, bioengineering & cardiology. Keywords:Medical Imaging;Computer Vision;Image Segmentation;Machine Learning;3D InformationKey Features:Uses computer vision techniques for medical imaging dataCovers image processing and segmentation algorithms in intravascular ultrasound, PETscan data, MRI dataEmphaisises 3D information extraction from medical imaging data

Author : Bernd Jahne
Publisher : Academic Press
ISBN 13 : 0123797772
Total Pages : 704 pages
Book Rating : 4.73/5 ( download)

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Download or read book Computer Vision and Applications written by Bernd Jahne and published by Academic Press. This book was released on 2000-04-24 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains: Searchable version of text with hyperlinks.

Author : Ahmed Fawzy Gad
Publisher : Apress
ISBN 13 : 1484241673
Total Pages : 421 pages
Book Rating : 4.77/5 ( download)

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Download or read book Practical Computer Vision Applications Using Deep Learning with CNNs written by Ahmed Fawzy Gad and published by Apress. This book was released on 2018-12-05 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in Python, before optimizing it using genetic algorithms. For automating the process, the book highlights the limitations of traditional hand-crafted features for computer vision and why the CNN deep-learning model is the state-of-art solution. CNNs are discussed from scratch to demonstrate how they are different and more efficient than the fully connected ANN (FCNN). You will implement a CNN in Python to give you a full understanding of the model. After consolidating the basics, you will use TensorFlow to build a practical image-recognition model that you will deploy to a web server using Flask, making it accessible over the Internet. Using Kivy and NumPy, you will create cross-platform data science applications with low overheads. This book will help you apply deep learning and computer vision concepts from scratch, step-by-step from conception to production. What You Will Learn Understand how ANNs and CNNs work Create computer vision applications and CNNs from scratch using PythonFollow a deep learning project from conception to production using TensorFlowUse NumPy with Kivy to build cross-platform data science applications Who This Book Is ForData scientists, machine learning and deep learning engineers, software developers.

Author : M Cheriet
Publisher : World Scientific
ISBN 13 : 9814494100
Total Pages : 288 pages
Book Rating : 4.06/5 ( download)

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Download or read book Vision Interface written by M Cheriet and published by World Scientific. This book was released on 1999-12-13 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains selected papers presented at Vision Interface '98, held in Vancouver, Canada, in June 1998. It spans a wide spectrum of topics in computer vision and image processing. During the last three decades, the field of computer vision and image processing has grown at a phenomenal rate due to the development of innovative techniques coupled with the advance in hardware that have been made available at lower cost. Numerous practical applications are now being realized to justify the theme of Vision Interface '98 — “Real World Applications of Computer Vision”. Contents: Preface (M Cheriet & Y-H Yang)Adaptive Gabor Filters for Phase-Based Disparity Estimation (B Crespi & G Tecchiolli)A Fast Rule-Based Parameter Free Discrete Hough Transform (B M A Genswein & Y-H Yang)Unsupervised Segmentation of 3D and 2D Seismic Reflection Data (K Köster & M Spann)Extraction of Handwritten Data from Noisy Gray-Level Images Using a Multiscale Approach (M Cheriet)Robust Mosaicing Using Zernike Moments (F Badra et al.)3D Image Understanding and Recognition in Virtual Environment (P S P Wang)An Integrated Linear Technique for Pose Estimation from Different Geometric Features (Q Ji et al.)On the Recovery of Motion and Structure When Cameras are not Calibrated (B S Boufama)Towards the Self-Calibration of a Multiview Radiographic Imaging System for the 3D Reconstruction of the Human Spine and Rib Cage (F Cheriet et al.)Image Flow Estimation Using Facet Model and Covariance Propagation (M Ye & R M Haralick)Robust Motion Trajectory Estimation for Long Image Sequences with Applications to Motion Compensated Prediction (D Gibson & M Spann)Image Processing for Internet Applications (P W Wong) Readership: Researchers in computer vision and practitioners of image processing. Keywords:

Author : Chiranji Lal Chowdhary
Publisher : Computing and Networks
ISBN 13 : 9781839533235
Total Pages : 504 pages
Book Rating : 4.34/5 ( download)

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Download or read book Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches written by Chiranji Lal Chowdhary and published by Computing and Networks. This book was released on 2021-11 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by a team of International experts, this edited book covers state-of-the-art research in the fields of computer vision and recognition systems from fundamental concepts to methodologies and technologies and real-world applications. The book will be useful for industry and academic researchers, scientists and engineers.

Author : Sunila Gollapudi
Publisher :
ISBN 13 : 9781484242629
Total Pages : pages
Book Rating : 4.29/5 ( download)

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Download or read book Learn Computer Vision Using OpenCV written by Sunila Gollapudi and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion analysis and their applications with examples. The author starts with an introduction to computer vision followed by setting up OpenCV from scratch using Python. The next section discusses specialized image processing and segmentation and how images are stored and processed by a computer. This involves pattern recognition and image tagging using the OpenCV library. Next, you'll work with object detection, video storage and interpretation, and human detection using OpenCV. Tracking and motion is also discussed in detail. The book also discusses creating complex deep learning models with CNN and RNN. The author finally concludes with recent applications and trends in computer vision. After reading this book, you will be able to understand and implement computer vision and its applications with OpenCV using Python. You will also be able to create deep learning models with CNN and RNN and understand how these cutting-edge deep learning architectures work. What You Will Learn Understand what computer vision is, and its overall application in intelligent automation systems Discover the deep learning techniques required to build computer vision applications Build complex computer vision applications using the latest techniques in OpenCV, Python, and NumPy Create practical applications and implementations such as face detection and recognition, handwriting recognition, object detection, and tracking and motion analysis Who This Book Is For Those who have a basic understanding of machine learning and Python and are looking to learn computer vision and its applications.

Author : Chowdhary, Chiranji Lal
Publisher : IGI Global
ISBN 13 : 1668486032
Total Pages : 293 pages
Book Rating : 4.30/5 ( download)

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Download or read book Investigations in Pattern Recognition and Computer Vision for Industry 4.0 written by Chowdhary, Chiranji Lal and published by IGI Global. This book was released on 2023-09-07 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: The approaches to computer vision have undergone a long journey in recent years, but still, innovations are continuing with leverage increases in computing power, new data availability, and new ways to leverage machine-learning algorithms. As a branch of artificial intelligence (AI), computer vision brings meaningful information from images and videos. Such innovations help communicators to run better campaigns, amplify messages further, and stand out in a noisy, crowded marketplace. Investigations in Pattern Recognition and Computer Vision for Industry 4.0 provides a holistic discussion of the new practical applications and use cases of computer vision and communications. Covering topics such as social media filters, mobile computer vision, and AI-powered image editing, this book is ideal for academicians, researchers, postgraduate students, professional data analysts, research and development centers, organizations dealing with healthcare informatics, and IT firms.

Author : Chiranji Lal Chowdhary
Publisher : CRC Press
ISBN 13 : 1000401022
Total Pages : 285 pages
Book Rating : 4.28/5 ( download)

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Download or read book Computer Vision and Recognition Systems written by Chiranji Lal Chowdhary and published by CRC Press. This book was released on 2022-03-10 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This cutting-edge volume focuses on how artificial intelligence can be used to give computers the ability to imitate human sight. With contributions from researchers in diverse countries, including Thailand, Spain, Japan, Turkey, Australia, and India, the book explains the essential modules that are necessary for comprehending artificial intelligence experiences to provide machines with the power of vision. The volume also presents innovative research developments, applications, and current trends in the field. The chapters cover such topics as visual quality improvement, Parkinson’s disease diagnosis, hypertensive retinopathy detection through retinal fundus, big image data processing, N-grams for image classification, medical brain images, chatbot applications, credit score improvisation, vision-based vehicle lane detection, damaged vehicle parts recognition, partial image encryption of medical images, and image synthesis. The chapter authors show different approaches to computer vision, image processing, and frameworks for machine learning to build automated and stable applications. Deep learning is included for making immersive application-based systems, pattern recognition, and biometric systems. The book also considers efficiency and comparison at various levels of using algorithms for real-time applications, processes, and analysis.