Digital Image Processing A Baskar Muthaiah Rajappa Shriram K Vasudevan by A. Baskar, Muthaiah Rajappa, Shriram K. Vasudevan, T. S. Murugesh 9781032108575, 9781032478678, 1032108576, 1032478675, 2022052363, 2022052364 instant download after payment.

This book provides a mix of theoretical and practical perceptions of the
related concepts pertaining to image processing. The primary objectives are
to offer an overview of the elementary concepts and practices appropriate
to digital imaging processing as well as to provide theoretical exposition.
The book starts with an expanded coverage of the fundamentals to provide
a more comprehensive and cohesive coverage of the topics including but not
limited to:
• Applications and tools for image processing, and fundamentals with
several implementation examples
• Concepts of image formation
• OpenCV installation with step-by-step screenshots
• Concepts behind intensity, brightness and contrast, and color models
• Ways by which noises are created in an image and the possible
remedial measures
• Edge detection, image segmentation, classification, regression, and
classification algorithms
• Importance of frequency domain in the image processing field
• Relevant code snippets and the MATLAB® codes, and several inter-
esting sets of simple programs in OpenCV and Python to aid learn-
ing and for complete understanding
The video lectures by the authors for specific topics through YouTube enable
easy inference for the readers to apply the learned theory into practice. The
addition of contents at the end of each chapter such as quizzes and review
questions fully prepare readers for further study.
Graduate students, postgraduate students, researchers, and anyone in
general interested in image processing, computer vision, machine learning
domains, etc. will find this book an excellent starting point for information
and an able ally.