Practical Machine Learning and Image Processing

For Facial Recognition, Object Detection, and Pattern Recognition Using Python

Himanshu Singh (Autor)

Buch | Softcover

169 Seiten

2019 | 1st ed.
Apress (Verlag)
978-1-4842-4148-6 (ISBN)

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Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You’ll see the OpenCV algorithms and how to use them for image processing.
The next section looks at advanced machine learning and deep learning methods for image processing and classification. You’ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you’ll explore how models are made in real time and then deployed using various DevOps tools.
All the conceptsin Practical Machine Learning and Image Processing are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application.
What You Will Learn

Discover image-processing algorithms and their applications using Python

Explore image processing using the OpenCV library

Use TensorFlow, scikit-learn, NumPy, and other libraries

Work with machine learning and deep learning algorithms for image processing

Apply image-processing techniques to five real-time projects

Who This Book Is For
Data scientists and software developers interested in image processing and computer vision.

Himanshu Singh has more than five years of experience as a data science professional. Currently he is senior data scientist at Unify Technologies Private Limited. He gives corporate training on data science, ML, and DL. He's also a visiting faculty for analytics at the Narsee Monjee Institute of Management Studies, considered one of the premium management institutes in India. He is founder of Black Feathers Analytics and Rise of Literati Clubs.

Chapter 1: Installation and Environment Setup
Chapter 2: Introduction to Python and Image Processing
Chapter 3: Advanced Image Processing using OpenCV
Chapter 4: Machine Learning Approaches in Image Processing
Chapter 5: Real Time Use Cases
Chapter 6: Appendix A

Erscheinungsdatum	05.03.2019
Zusatzinfo	14 Illustrations, color; 77 Illustrations, black and white; XV, 169 p. 91 illus., 14 illus. in color.
Verlagsort	Berkley
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
	Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
	Mathematik / Informatik ► Informatik ► Software Entwicklung
	Informatik ► Theorie / Studium ► Compilerbau
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	computer vision • convolutional neural networks • Deep learning • Image Processing • Image Segmentation • machine learning • Neural networks • OpenCV • Python
ISBN-10	1-4842-4148-7 / 1484241487
ISBN-13	978-1-4842-4148-6 / 9781484241486
Zustand	Neuware