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Introduction to Image Processing Using R

2013-02-01 Computers
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Release : 2013-02-01
Genre : Computers
Kind : eBook
Book Rating : 505/5 ( reviews)

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Book Synopsis Introduction to Image Processing Using R by : Alejandro C. Frery

Download or read book Introduction to Image Processing Using R written by Alejandro C. Frery. This book was released on 2013-02-01. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and necessary for image processing techniques. Furthermore, it has been proved in the literature that R is among the most reliable, accurate and portable statistical software available. Both the theory and practice of R code concepts and techniques are presented and explained, and the reader is encouraged to try their own implementation to develop faster, optimized programs. Those who are new to the field of image processing and to R software will find this work a useful introduction. By reading the book alongside an active R session, the reader will experience an exciting journey of learning and programming.

Remote Sensing Image Classification in R

2019-07-24 Technology & Engineering
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Release : 2019-07-24
Genre : Technology & Engineering
Kind : eBook
Book Rating : 120/5 ( reviews)

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Book Synopsis Remote Sensing Image Classification in R by : Courage Kamusoko

Download or read book Remote Sensing Image Classification in R written by Courage Kamusoko. This book was released on 2019-07-24. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an introduction to remotely sensed image processing and classification in R using machine learning algorithms. It also provides a concise and practical reference tutorial, which equips readers to immediately start using the software platform and R packages for image processing and classification. This book is divided into five chapters. Chapter 1 introduces remote sensing digital image processing in R, while chapter 2 covers pre-processing. Chapter 3 focuses on image transformation, and chapter 4 addresses image classification. Lastly, chapter 5 deals with improving image classification. R is advantageous in that it is open source software, available free of charge and includes several useful features that are not available in commercial software packages. This book benefits all undergraduate and graduate students, researchers, university teachers and other remote- sensing practitioners interested in the practical implementation of remote sensing in R.

Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

2020-08-16 Computers
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Release : 2020-08-16
Genre : Computers
Kind : eBook
Book Rating : 657/5 ( reviews)

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Book Synopsis Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi by : Shrirang Ambaji Kulkarni

Download or read book Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi written by Shrirang Ambaji Kulkarni. This book was released on 2020-08-16. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning a branch of Artificial Intelligence is influencing the society, industry and academia at large. The adaptability of Python programming language to Machine Learning has increased its popularity further. Another technology on the horizon is Internet of Things (IoT). The present book tries to address IoT, Python and Machine Learning along with a small introduction to Image Processing. If you are a novice programmer or have just started exploring IoT or Machine Learning with Python, then this book is for you. Features: Raspberry Pi as IoT is described along with the procedure for installation and configuration. A simple introduction to Python Programming Language along with its popular library packages like NumPy, Pandas, SciPy and Matplotlib are dealt in an exhaustive manner along with relevant examples. Machine Learning along with Python Scikit-Learn library is explained to audience with an emphasis on supervised learning and classification. Image processing on IoT is introduced to the audience who love to apply Machine Learning algorithms to Images The book follows hands-on approach and provide a huge collection of Python programs.

Introductory Digital Image Processing

2005 Computers
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Release : 2005
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Introductory Digital Image Processing by : John R. Jensen

Download or read book Introductory Digital Image Processing written by John R. Jensen. This book was released on 2005. Available in PDF, EPUB and Kindle. Book excerpt: For junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology. This revision of Introductory Digital Image Processing: A Remote Sensing Perspective continues to focus on digital image processing of aircraft- and satellite-derived, remotely sensed data for Earth resource management applications. Extensively illustrated, it explains how to extract biophysical information from remote sensor data for almost all multidisciplinary land-based environmental projects. Part of the Prentice Hall Series Geographic Information Science.

An Introduction to Morphological Image Processing

1992 Computers
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Release : 1992
Genre : Computers
Kind : eBook
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Book Synopsis An Introduction to Morphological Image Processing by : Edward R. Dougherty

Download or read book An Introduction to Morphological Image Processing written by Edward R. Dougherty. This book was released on 1992. Available in PDF, EPUB and Kindle. Book excerpt: Binary erosion and dilation. Binary opening and closing. Morphological processing of binary images. Hit-or-miss transform. Granulometries. Gray-scale morphology. Gray-scale morphological algorithms.

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