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Hands-On Image Processing with Python

Hands-On Image Processing with Python

By : Sandipan Dey
3 (5)
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Hands-On Image Processing with Python

Hands-On Image Processing with Python

3 (5)
By: Sandipan Dey

Overview of this book

Image processing plays an important role in our daily lives with various applications such as in social media (face detection), medical imaging (X-ray, CT-scan), security (fingerprint recognition) to robotics & space. This book will touch the core of image processing, from concepts to code using Python. The book will start from the classical image processing techniques and explore the evolution of image processing algorithms up to the recent advances in image processing or computer vision with deep learning. We will learn how to use image processing libraries such as PIL, scikit-mage, and scipy ndimage in Python. This book will enable us to write code snippets in Python 3 and quickly implement complex image processing algorithms such as image enhancement, filtering, segmentation, object detection, and classification. We will be able to use machine learning models using the scikit-learn library and later explore deep CNN, such as VGG-19 with Keras, and we will also use an end-to-end deep learning model called YOLO for object detection. We will also cover a few advanced problems, such as image inpainting, gradient blending, variational denoising, seam carving, quilting, and morphing. By the end of this book, we will have learned to implement various algorithms for efficient image processing.
Table of Contents (20 chapters)
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Title Page
Copyright and Credits
Dedication
About Packt
Contributors
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Preface
Index

Contributors

About the author

Sandipan Dey is a data scientist with a wide range of interests, covering topics such as machine learning, deep learning, image processing, and computer vision. He has worked in numerous data science fields, working with recommender systems, predictive models for the events industry, sensor localization models, sentiment analysis, and device prognostics. He earned his master's degree in computer science from the University of Maryland, Baltimore County, and has published in a few IEEE Data Mining conferences and journals. He has earned certifications from 100+ MOOCs on data science, machine learning, deep learning, image processing, and related courses/specializations. He is a regular blogger on his blog (sandipanweb) and is a machine learning education enthusiast.

I am grateful to the excellent online courses provided by top schools across the globe over the last few years. Few of them are: Image processing (@Coursera by Duke, Northwestern), Computer vision and image analysis (@edX by Microsoft), Computational photography (@Coursera by Georgia Tech), Machine learning (@Coursera by Stanford, University of Toronto; @edX by UCSD), Deep learning (@Coursera by deeplearning.ai; @Udacity by Google).

 

 

About the reviewer

 

Nikhil Borkar holds a CQF designation and a postgraduate degree in quantitative finance. He also holds the certified financial crime examiner and certified anti-money laundering professional qualifications. He is a registered research analyst with the Securities and Exchange Board of India (SEBI) and has a keen grasp of the Indian regulatory landscape pertaining to securities and investments. He is currently working as an independent FinTech and legal consultant. Prior to this, he worked with Morgan Stanley Capital International (MSCI) as a global RFP project manager.

 

 

 

 

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