<div> <p>Explore Keras, scikit-image, OpenCV, Matplotlib, and many other Python tools and frameworks to solve real-world image processing problems</p> <h3>Key Features</h3> <p>Discover solutions to complex image processing tasks using Python tools such as scikit-image and Keras</p> <p>Delve into
The Image Processing Cookbook
β Scribed by John C Russ
- Publisher
- CreateSpace Independent Publishing Platform
- Year
- 2017
- Tongue
- English
- Leaves
- 108
- Edition
- 4
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book leads the reader on a guided tour of the practical methods that can reveal the most important information in the digital images used for scientific, forensic and technical purposes, using richly illustrated examples that show the reader the step-by-step procedures for correcting problems in recorded images, enhancing the critical details, isolating objects and structures for measurement, and deriving the quantitative data useful for subsequent analysis. The emphasis in the book is on teaching by example, and providing visual comparisons of the various tools that can be applied, following the typical workflow needed to correct imaging defects, enhance details, isolate objects and structures, and perform measurements. The examples are purposely taken from a wide range of subjects, including various kinds of microscopy, medical imaging, forensic photography, and astronomy.
β¦ Subjects
Computer Vision & Pattern Recognition;AI & Machine Learning;Computer Science;Computers & Technology
π SIMILAR VOLUMES
<span>This book leads the reader on a guided tour of the practical methods that can reveal the most important information in the digital images used for scientific, forensic and technical purposes, using richly illustrated examples that show the reader the step-by-step procedures for correcting prob
About This Book Design automated image-processing solutions and speed up image-processing tasks with ImageJ Create quality and intuitive interfaces for image processing by developing a basic framework for ImageJ plugins. Tackle even the most sophisticated datasets and complex images