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Subrat SaurabhAuthor of Kuch Woh Pal
Machine Vision Systems
Step into the world of machine vision with a comprehensive textbook designed to equip you with everything from foundational principles to industry-leading applications. This textbook covers:
Introduction to Vision Systems: Explore human and machine vision basics, the physics of light, and the anatomy of machine vision systems.
Image Acquisition: Learn the essential techniques of lighting, optical filtering, and camera interfaces, covering CCD, CMOS, analog, and digital systems with camera calibration for precise image capture.
Image Processing Techniques: Master spatial and frequency domain processing, including grayscale stretching, edge detection, and color processing to transform raw data into actionable insights.
Feature Extraction & Classification: Uncover techniques for extracting region, shape, and texture features, along with 3D vision methods essential for decision-making.
Diverse Applications: Discover real-world applications in manufacturing, pharmaceuticals, and biometrics. Whether in augmented reality or vision-guided robotics, machine vision is everywhere!
Perfect for students, engineers, and professionals, this guide is your essential roadmap to understanding and applying machine vision in today’s tech-driven world. Elevate your expertise with Machine Vision Systems and open the door to transformative technology!
Anand Jayakumar Arumugham, Dr. C SARAVANA MURTHI
Anand Jayakumar Arumugham is an Assistant Professor in SUGUNA College of Engineering, Coimbatore, India. He has done his UG in Production Engineering and PG in Industrial Engineering and he has also done his MBA. He has 11 years of Teaching Experience and 4 years of Industrial Experience. He has published many books and journal articles.
Dr. C. Saravana Murthi is an accomplished Associate Professor in Mechanical Engineering with a Ph.D. from Anna University, Chennai. He has over ten years of experience in teaching and a solid background in industry, specializing in CAD, manufacturing technologies, and materials science. As the Head of the Robotics and Automation department at the United Institute of Technology, Coimbatore. His research contributions include publications on machining optimization and materials engineering. Dedicated to developing innovative learning methods, He combines his industry expertise with academic leadership to inspire future engineers.
