Himanshu Singh - Practical Machine Learning and Image Processing

Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the books product page, located at www.apress.com/978-1-4842-4148-6 . For more detailed information, please visit http://www.apress.com/source-code .

Practical Machine Learning and Image Processing gives readers deep insight into the basics of image processing and various image processing methodologies and algorithms, applications using various Python libraries, and real-time use case implementation using machine learning approaches.

The book begins with a discussion of the setup environment for different operating systems, presents basic image processing terminology, and explores useful Python concepts for algorithm application. It then delves into various image processing algorithms and practical implementation of them in Python using two libraries: Scikit Image and OpenCV. Next, advanced machine learning and deep learning methods are presented for image processing and classification. Concepts such as Adaboost, XG Boost, convolutional neural networks, and more, for image-specific applications are explained. Later, the process for making models in real time and then deploying them is described.

All the concepts in the book are explained using real-life scenarios. By the end of the book, readers should be able to apply image processing techniques and make machine learning models for customized applications.

First of all, I thank the Apress Team, Celestian John and Aditee Mirashi, for giving me a platform to contribute my image processing knowledge and share it with readers. Second, I thank my colleagues, without whom this book would not have been possible: Aravind Kota, Yamuna, and my boss and mentor, Yunis Ahmad Lone. I also thank my students. They helped me see which issues are challenging for them, and enabled me to devise a specific means of explaining the concepts to them in a manner that facilitates their learning.

Last, but not the least, I thank my wife, Shikha Singh. Her constant support and help has allowed this project to come to fruition. She assisted me in all aspects of writing this book, sometimes proofreading and writing technical details herself.

Many thanks to everyone for your constant support.