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Hybrid Image Processing Methods for Medical Image Examination

Hybrid Image Processing Methods for Medical Image Examination PDF Author: Venkatesan Rajinikanth
Publisher: CRC Press
ISBN: 1000300188
Category : Computers
Languages : en
Pages : 177

Book Description
In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation) image processing methods, this work focuses on implementation of possible hybrid image examination techniques for medical images. It describes various image thresholding and segmentation methods which are essential for the development of such a hybrid processing tool. Further, this book presents the essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, and implementation of segmentation procedure and its evaluation, supported by pertinent case studies. Aimed at researchers/graduate students in the medical image processing domain, image processing, and computer engineering, this book: Provides broad background on various image thresholding and segmentation techniques Discusses information on various assessment metrics and the confusion matrix Proposes integration of the thresholding technique with the bio-inspired algorithms Explores case studies including MRI, CT, dermoscopy, and ultrasound images Includes separate chapters on machine learning and deep learning for medical image processing

Hybrid Image Processing Methods for Medical Image Examination

Hybrid Image Processing Methods for Medical Image Examination PDF Author: Venkatesan Rajinikanth
Publisher: CRC Press
ISBN: 1000300188
Category : Computers
Languages : en
Pages : 177

Book Description
In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation) image processing methods, this work focuses on implementation of possible hybrid image examination techniques for medical images. It describes various image thresholding and segmentation methods which are essential for the development of such a hybrid processing tool. Further, this book presents the essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, and implementation of segmentation procedure and its evaluation, supported by pertinent case studies. Aimed at researchers/graduate students in the medical image processing domain, image processing, and computer engineering, this book: Provides broad background on various image thresholding and segmentation techniques Discusses information on various assessment metrics and the confusion matrix Proposes integration of the thresholding technique with the bio-inspired algorithms Explores case studies including MRI, CT, dermoscopy, and ultrasound images Includes separate chapters on machine learning and deep learning for medical image processing

Image and Signal Processing

Image and Signal Processing PDF Author: Alamin Mansouri
Publisher: Springer
ISBN: 3319942115
Category : Computers
Languages : en
Pages : 551

Book Description
This book constitutes the refereed proceedings of the 8th International Conference on Image and Signal Processing, ICISP 2018, held in Cherbourg, France, in July 2018. The 58 revised full papers were carefully reviewed and selected from 122 submissions. The contributions report on the latest developments in image and signal processing, video processing, computer vision, multimedia and computer graphics, and mathematical imaging and vision.

Digital Signal Processing System Design

Digital Signal Processing System Design PDF Author: Nasser Kehtarnavaz
Publisher: Elsevier
ISBN: 0080483453
Category : Technology & Engineering
Languages : en
Pages : 342

Book Description
Digital Signal Processing System Design combines textual and graphical programming to form a hybrid programming approach, enabling a more effective means of building and analyzing DSP systems. The hybrid programming approach allows the use of previously developed textual programming solutions to be integrated into LabVIEW's highly interactive and visual environment, providing an easier and quicker method for building DSP systems. This book is an ideal introduction for engineers and students seeking to develop DSP systems in quick time. Features: - The only DSP laboratory book that combines textual and graphical programming - 12 lab experiments that incorporate C/MATLAB code blocks into the LabVIEW graphical programming environment via the MathScripting feature - Lab experiments covering basic DSP implementation topics including sampling, digital filtering, fixed-point data representation, frequency domain processing - Interesting applications using the hybrid programming approach, such as a software-defined radio system, a 4-QAM Modem, and a cochlear implant simulator - The only DSP project book that combines textual and graphical programming - 12 Lab projects that incorporate MATLAB code blocks into the LabVIEW graphical programming environment via the MathScripting feature - Interesting applications such as the design of a cochlear implant simulator and a software-defined radio system

Compression Algorithms for Real Programmers

Compression Algorithms for Real Programmers PDF Author: Peter Wayner
Publisher: Morgan Kaufmann
ISBN: 9780127887746
Category : Computers
Languages : en
Pages : 260

Book Description
You'll learn not only to choose the optimal compression strategy for your project, but also to apply it in a way that guarantees the best possible results."--BOOK JACKET.

Signal Processing, Theories and Applications

Signal Processing, Theories and Applications PDF Author:
Publisher:
ISBN:
Category : Signal processing
Languages : en
Pages : 652

Book Description


Advances in Case-Based Reasoning

Advances in Case-Based Reasoning PDF Author: Enrico Blanzieri
Publisher: Springer
ISBN: 3540445277
Category : Computers
Languages : en
Pages : 545

Book Description
This book constitutes the refereed proceedings of the 5th European Workshop on Case-Based Reasonning, EWCBR 2000, held in Trento, Italy in September 2000. The 40 revised full papers presented together with two invited contributions were carefully reviewed and selected for inclusion in the book. All curves issues in case-based reasoning, ranging from foundational and theoretical aspects to advanced applications in various fields are addressed.

Proceedings IWISP '96, 4–7 November 1996; Manchester, UK

Proceedings IWISP '96, 4–7 November 1996; Manchester, UK PDF Author: Basil G. Mertzios
Publisher: Elsevier
ISBN: 0080539769
Category : Technology & Engineering
Languages : en
Pages : 729

Book Description
The papers in this volume focus on the most modern and critical aspects of Image and Signal Processing and related areas that have a significant impact in our society. The papers may be categorized in the following four major parts. Coding and Compression (image coding, image subband, wavelet coding and representation, video coding, motion estimation and multimedia); Image Processing and Pattern Recognition (image analysis, edge detection, segmentation, image enhancement and restoration, adaptive systems, colour processing, pattern and object recognition and classification); Fast Processing Techniques (computational methods, VLSI DSP architectures); Theory and Applications (identificiation and modelling, multirate filter banks, wavelets in image and signal processing, biomedical and industrial applications). The authors of these exceptionally high-quality papers form an interesting group, originating from the five continents, representing 33 countries.

Hybrid Image Processing Methods for Medical Image Examination

Hybrid Image Processing Methods for Medical Image Examination PDF Author: Venkatesan Rajinikanth
Publisher: CRC Press
ISBN: 1000316564
Category : Computers
Languages : en
Pages : 201

Book Description
In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation) image processing methods, this work focuses on implementation of possible hybrid image examination techniques for medical images. It describes various image thresholding and segmentation methods which are essential for the development of such a hybrid processing tool. Further, this book presents the essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, and implementation of segmentation procedure and its evaluation, supported by pertinent case studies. Aimed at researchers/graduate students in the medical image processing domain, image processing, and computer engineering, this book: Provides broad background on various image thresholding and segmentation techniques Discusses information on various assessment metrics and the confusion matrix Proposes integration of the thresholding technique with the bio-inspired algorithms Explores case studies including MRI, CT, dermoscopy, and ultrasound images Includes separate chapters on machine learning and deep learning for medical image processing

 PDF Author:
Publisher: IOS Press
ISBN:
Category :
Languages : en
Pages : 6097

Book Description


Guide to Medical Image Analysis

Guide to Medical Image Analysis PDF Author: Klaus D. Toennies
Publisher: Springer
ISBN: 1447173201
Category : Computers
Languages : en
Pages : 609

Book Description
This comprehensive guide provides a uniquely practical, application-focused introduction to medical image analysis. This fully updated new edition has been enhanced with material on the latest developments in the field, whilst retaining the original focus on segmentation, classification and registration. Topics and features: presents learning objectives, exercises and concluding remarks in each chapter; describes a range of common imaging techniques, reconstruction techniques and image artifacts, and discusses the archival and transfer of images; reviews an expanded selection of techniques for image enhancement, feature detection, feature generation, segmentation, registration, and validation; examines analysis methods in view of image-based guidance in the operating room (NEW); discusses the use of deep convolutional networks for segmentation and labeling tasks (NEW); includes appendices on Markov random field optimization, variational calculus and principal component analysis.