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eBook Texture Analysis in Machine Vision epub

by M. K. Pietikainen

eBook Texture Analysis in Machine Vision epub
  • ISBN: 9810243731
  • Author: M. K. Pietikainen
  • Genre: Techno
  • Subcategory: Computer Science
  • Language: English
  • Publisher: World Scientific Pub Co Inc (September 1, 2000)
  • Pages: 257 pages
  • ePUB size: 1918 kb
  • FB2 size 1717 kb
  • Formats docx lrf mbr rtf


Автор: Pietikainen M K Название: Texture Analysis In Machine Vision Издательство: World Scientific Publishing Классификация . The book gives a unique view of different approaches and applications of texture analysis

The book gives a unique view of different approaches and applications of texture analysis.

Texture analysis is an important and useful area of study in machine vision.

Cite this publication. Texture analysis is an important and useful area of study in machine vision. surfaces exhibit texture and a successful vision system must be able to deal with the tex-. from two viewpoints - from the viewpoint of human vision or psychophysics and from. the viewpoint of practical machine vision applications.

T Ojala, M Pietikainen, T Maenpaa. M Heikkila, M Pietikainen. IEEE transactions on pattern analysis and machine intelligence 28 (4), 657-662, 2006. Pattern Analysis and Machine Intelligence, IEEE Transactions on 24 (7), 971-987, 2002. Performance evaluation of texture measures with classification based on Kullback discrimination of distributions.

Books by Matti Pietikainen with Solutions. Pau, Matti Pietikainen, M. Pietikainen. Join Chegg Study and get: Guided textbook solutions created by Chegg experts. Learn from step-by-step solutions for over 34,000 ISBNs in Math, Science, Engineering, Business and more. Answers in a pinch from experts and subject enthusiasts all semester long.

Texture Analysis in Machine Vision. Hidden Markov Models: Applications in Computer Vision (Series in Machine Perception and Artificial Intelligence, 45). Qualitative Motion Understanding (KLUWER INTERNATIONAL SERIES IN ENGINEERING AND COMPUTER SCIENCE).

The analysis of texture in images is an important area of study. T. Ojala, M. Pietikainen, A comparative study of texture measures with classification based on feature distributions, Pattern Recognition, 29(1):51–59, 1996. CrossRefGoogle Scholar.

Электронная книга "Machine Vision For Advanced Production", Pau Louis-francois, Pietikainen Matti K. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Machine Vision For Advanced Production" для чтения в офлайн-режиме.

d104ure analysis is an important generic research area of machine vision. The potential areas of application include biomedical image analysis, industrial inspection, analysis of satellite or aerial imagery, content-based retrieval from image databases, document analysis, biometric person authentication, scene analysis for robot navigation, texture synthesis for computer graphics and animation, and image coding. d104ure analysis has been a topic of intensive research for over three decades, but the progress has been very slow.A workshop on “d104ure Analysis in Machine Vision” was held at the University of Oulu, Finland, in 1999, providing a forum for presenting recent re and for discussing how to make progress in order to increase the usefulness of texture in practical applications. This book contains extended and revised versions of the papers presented at the workshop. The first part of the book deals with texture analysis methodology, while the second part covers various applications. The book gives a unique view of different approaches and applications of texture analysis. It should be of great interest both to researchers of machine vision and to practitioners in various application areas.
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