Machine Vision Algorithms: Principles and Industrial Practice

Author

Affiliation

Will Pan

OPT Machine Vision

Preface

This book systematically covers the algorithmic principles of industrial machine vision: from imaging and calibration, image enhancement, locating, measurement, inspection, and recognition to 3D imaging and 3D processing. Each chapter starts with intuition and mathematical principles, accompanied by pseudocode and runnable SciVision SDK C++ examples, and presents “Industry Case” callouts with real parameter experience from production lines.

The companion code for the book lives in the repository’s code/ directory.

📄 Download the full book (PDF)

About the Author

Will Pan is a researcher in machine vision and 3D imaging — industrial 3D imaging, point-cloud and mesh processing, measurement and inspection, and robot vision. Ph.D. from the Singapore University of Technology and Design (SUTD).