Machine Vision PDF
By:E. R. Davies
Published on 2014-07-10 by Elsevier
Machine Vision: Theory, Algorithms, Practicalities covers the limitations, constraints, and tradeoffs of vision algorithms. This book is organized into four parts encompassing 21 chapters that tackle general topics, such as noise suppression, edge detection, principles of illumination, feature recognition, Bayes’ theory, and Hough transforms. Part 1 provides research ideas on imaging and image filtering operations, thresholding techniques, edge detection, and binary shape and boundary pattern analyses. Part 2 deals with the area of intermediate-level vision, the nature of the Hough transform, shape detection, and corner location. Part 3 demonstrates some of the practical applications of the basic work previously covered in the book. This part also discusses some of the principles underlying implementation, including on lighting and hardware systems. Part 4 highlights the limitations and constraints of vision algorithms and their corresponding solutions. This book will prove useful to students with undergraduate course on vision for electronic engineering or computer science.
This Book was ranked at 23 by Google Books for keyword 571=Reference Novel Book - How to Download.
Book ID of Machine Vision's Books is bL3SBQAAQBAJ, Book which was written byE. R. Davieshave ETAG "L7kUTrII2nw"
Book which was published by Elsevier since 2014-07-10 have ISBNs, ISBN 13 Code is 9781483275611 and ISBN 10 Code is 1483275612
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Book which have "572 Pages" is Printed at BOOK under CategoryComputers
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