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Can I read Machine Vision Inspection Systems, Machine Learning-Based Approaches (Machine Vision Inspection Systems, Volume 2) on EtoBox?
Machine Vision Inspection Systems, Machine Learning-Based Approaches (Machine Vision Inspection Systems, Volume 2) by Muthukumaran Malarvel; Soumya Ranjan Nayak; Prasant Kumar Pattnaik; Surya Narayan Panda is a nonfiction available to read on EtoBox.
What is Machine Vision Inspection Systems, Machine Learning-Based Approaches (Machine Vision Inspection Systems, Volume 2) about?
__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 approa
Who reads Machine Vision Inspection Systems, Machine Learning-Based Approaches (Machine Vision Inspection Systems, Volume 2)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Muthukumaran Malarvel; Soumya Ranjan Nayak; Prasant Kumar Pattnaik; Surya Narayan Panda
- Publisher
- John Wiley & Sons, Incorporated
- Published
- 2021
- Language
- EN
- ISBN
- 9781119786092
- Category
- nonfiction
- Subjects
- Engineering, Computer Science, Stem