A Guide for Machine Vision in Quality Control - Anand, Sheila; Priya, L.
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This book covers machine vision technology with respect to quality control alongwith basics of image processing and its related algorithms as applied to machine vision. Includes case studies as well as real-time usage scenarios for the application of machine vision technology in quality control.

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Produktbeschreibung
This book covers machine vision technology with respect to quality control alongwith basics of image processing and its related algorithms as applied to machine vision. Includes case studies as well as real-time usage scenarios for the application of machine vision technology in quality control.
Autorenporträt
Sheila Anand is a PhD graduate and Professor at Rajalakshmi Engineering College, Chennai, India. She has over three decades of experience in teaching, consultancy, and research. She has worked in the software industry and has extensive experience in development of software applications and in systems audit of financial, manufacturing, and trading organizations. She guides PhD aspirants and many of her research scholars have since been awarded their doctoral degree. She has published many papers in national and international journals and is a reviewer for several journals of repute. L. Priya is a PhD graduate working as Associate Professor and Head, Department of Information Technology at Rajalakshmi Engineering College, Chennai, India. She has nearly two decades of teaching experience and good exposure to consultancy and research. She has delivered many invited talks, presented papers, and won several paper awards at international conferences. She has published several papers in international journals and is a reviewer for SCI indexed journals. Her areas of interest include machine vision, wireless communication, and machine learning.