Get Free Shipping on orders over $89
Machine Vision Inspection Systems, Machine Learning-Based Approaches : Machine Vision Inspection Systems : Book 2 - Muthukumaran Malarvel

Machine Vision Inspection Systems, Machine Learning-Based Approaches

By: Muthukumaran Malarvel (Editor), Soumya Ranjan Nayak (Editor), Prasant Kumar Pattnaik (Editor), Surya Narayan Panda (Editor)

eText | 14 January 2021 | Edition Number 1

At a Glance

eText


$347.59

or 4 interest-free payments of $86.90 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

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.

on
Desktop
Tablet
Mobile

More in Artificial Intelligence

I Think I Am Awake - Olivier Rabenschlag

eBOOK

Coming of Age : Shared Intelligence - Steven Yates

eBOOK

AI for Economists - Ashot Davoyan

eBOOK

Next Level : Making Games That Make Themselves - Dr Mike Cook

eBOOK