Image Processing Masterclass with python - Sandipan Dey PDF

Image Processing Masterclass with python - Sandipan Dey

{getToc} $title={Table of Contents}

{getButton} $text={READ AND DOWNLOAD BOOK FOR FREE} $icon={download} $color={#F52D2D}

 

Image Processing Masterclass with python - Sandipan Dey

This book adopts a problem-driven approach to guide readers through various image processing tasks, leveraging popular Python libraries such as Numpy, Scipy, scikit-image, PIL, and SimpleITK. It covers a wide range of topics, including basic image processing, geometric transformations, image hashing, sampling, convolution, discrete Fourier transform, frequency domain filtering, image restoration, and enhancement. Additionally, it delves into facial image processing challenges, employing machine learning and deep learning techniques with libraries like scikit-learn, Keras, and PyTorch.

The chapters are structured progressively, starting from fundamental concepts and gradually advancing to more complex topics like face detection, recognition, and parsing. Each chapter offers practical insights and hands-on demonstrations to reinforce learning. This masterclass is tailored for computer vision practitioners, machine learning engineers, and image processing enthusiasts seeking to tackle contemporary challenges in the field.

About the Author:

Sandipan Dey is a versatile Data Scientist with expertise in machine learning, deep learning, image processing, and computer vision. He holds a master's degree in Computer Science from the University of Maryland, Baltimore County, and has contributed to various data science domains, including recommender systems, predictive modeling, sentiment analysis, and device prognostics. With a passion for education, he has authored multiple books on image processing and actively shares his knowledge through blogging and online platforms.