Machine Vision Inspection Systems, Machine Learning-Based Approaches Volume 2 Edition Muthukumaran Malarvel

Machine Vision Inspection Systems, Machine Learning-Based Approaches – Ebook Instant Download/Delivery ISBN(s): 9781119786092,1119786096

Product details:

• ISBN-10 ‏ : ‎ 1119786096
• ISBN-13 ‏ : ‎ 978-1119786092
• Author(s): Muthukumaran Malarvel; Soumya Ranjan Nayak; Prasant Kumar Pattnaik; Surya Narayan Panda

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.

Table contents:

1 Machine Learning-Based Virus Type Classification Using Transmission Electron Microscopy Virus Images 1

2 Capsule Networks for Character Recognition in Low Resource Languages 23

3 An Innovative Extended Method of Optical Pattern Recognition for Medical Images With Firm Accuracy—4f System-Based Medical Optical Pattern Recognition 47

4 Brain Tumor Diagnostic System— A Deep Learning Application 69

5 Machine Learning for Optical Character Recognition System 91

6 Surface Defect Detection Using SVM-Based Machine Vision System with Optimized Feature 109

7 Computational Linguistics-Based Tamil Character Recognition System for Text to Speech Conversion 129

8 A Comparative Study of Different Classifiers to Propose a GONN for Breast Cancer Detection 155

9 Mexican Sign-Language Static-Alphabet Recognition Using 3D Affine Invariants 171

10 Performance of Stepped Bar Plate-Coated Nanolayer of a Box Solar Cooker Control Based on Adaptive Tree Traversal Energy and OSELM 193

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