Téléchargez le livre : Machine Vision Inspection Systems, Machine Learning-Based Approaches

Machine Vision Inspection Systems, Machine Learning-Based Approaches

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Éditeur :

Wiley-Scrivener


Paru le : 2021-01-14

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Description

Machine Vision Inspection Systems (MVIS) is a multidisciplinary research field that emphasizes image processing, machine vision and, pattern recognition for industrial applications. Inspection techniques are generally used in destructive and non-destructive evaluation industry. Now a day's the current research on machine inspection gained more popularity among various researchers, because the manual assessment of the inspection may fail and turn into false assessment due to a large number of examining while inspection process.
This volume 2 covers machine learning-based approaches in MVIS applications and it can be employed to a wide diversity of problems particularly in Non-Destructive testing (NDT), presence/absence detection, defect/fault detection (weld, textile, tiles, wood, etc.), automated vision test & measurement, pattern matching, optical character recognition & verification (OCR/OCV), natural language processing, medical diagnosis, etc. This edited book is designed to address various aspects of recent methodologies, concepts, and research plan out to the readers for giving more depth insights for perusing research on machine vision using machine learning-based approaches.
Pages
352 pages
Collection
n.c
Parution
2021-01-14
Marque
Wiley-Scrivener
EAN papier
9781119786092
EAN PDF
9781119786115
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
352
Taille du fichier
41933 Ko
Prix
200,40 €
EAN EPUB
9781119786108
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
352
Taille du fichier
4905 Ko
Prix
200,40 €

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