Practical algorithms for image analysis: description, examples, and code epub
Par putnam timothy le vendredi, septembre 2 2016, 02:16 - Lien permanent
Practical algorithms for image analysis: description, examples, and code by Lawrence O'Gorman, Michael J. Sammon, Michael Seul
Practical algorithms for image analysis: description, examples, and code Lawrence O'Gorman, Michael J. Sammon, Michael Seul ebook
Publisher: Cambridge University Press
Format: djvu
ISBN: 0521660653, 9780521660655
Page: 299
Practical Algorithms for Image Analysis with CD-ROM: Description, Examples, and Code. Practical Algorithms for Image Analysis (Book 2000) - Goodreads Practical Algorithms for Image Analysis: Description, Examples, and Code [With CDROM] Practical Algorithms for Image Analysis with CD-ROM / Edition 2. I thought it might be a fun challenge to work through the book in Flash and Actionscript, not by just porting over the existing code examples, but by analyzing the text and coming up with my own implementation from scratch. Each section The accompanying CD-ROM features C programs not only as source code for carrying out the procedures, but also as executables with a graphical user interface for Windows and Linux. Each self-contained section I appreciated the book set-up: each section describes one single task, describes the problem, gives an example, discusses a solution given in literature, and presents the input / output / options for the C code. Drawing on their long experience as users and developers of image analysis algorithms and software, the authors present a description and implementation of the most suitable procedures in easy-to-use form. The only somewhat negative is that examples are for openCV 1.1. This book offers guided access to a collection of algorithms for the digital manipulation and analysis of images. How bioinformatics influences health informatics: usage of biomolecular sequences, expression profiles and automated microscopic image analyses for clinical needs and public health . Drawing on their long experience as users and developers of image analysis algorithms and software, the authors present a practical description and implementation of the most suitable procedures.