Showing results for "Introduction to Image Processing Using R Learning by Examples Alejandro C. Frery German"

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 encou...

A practical guide to understanding the core machine learning and deep learning algorithms, and implementing them to create intelligent image processing systems using OpenCV 4Key FeaturesGain insights into machine learning algorithms, and implement them using OpenCV 4 and scikit-learnGet up to speed with Intel OpenVINO and its integration with OpenCV 4Implement high-performance machine learning models with helpful tips and best practices

This book is a focused, practice-driven resource organized around 10 key thematic sections, blending foundational AI knowledge with cutting-edge digital image processing applications—ideal for bridging theory and real-world use. It avoids generic coverage, instead diving into specialized, high-demand topics like deep learning fundamentals, deepfake technology, adversarial attacks in computer vision, adaptive cryptography, and generative AI-driven SAR-to-optical image translation. As a post...

Expand your OpenCV knowledge and master key concepts of machine learning using this practical, hands-on guide.Key Features\[\*\] Load, store, edit, and visualize data using OpenCV and Python\[\*\] Grasp the fundamental concepts of classification, regression, and clustering\[\*\] Understand, perform, and experiment with machine learning techniques using this easy-to-follow guide\[\*\] Evaluate, compare, and choose the right algorithm fo...

This unique reference presents in-depth coverage of the latest methods and applications of digital image processing describing various computer architectures ideal for satisfying specific image processing demands.

Image Processing, as a strong tool for labeling, classifying, renovating, and compacting images, helps us to extract information from image data. It converts the image to a signal or a matrix and applies signal processing or matrix management techniques.There are several image-processing books available, but what exactly makes Image Processing unique is adding some assignments and projects. This book can be used as a course notebook and teaching in colleges. Since all images in the...

SAR IMAGE ANALYSIS — A COMPUTATIONAL STATISTICS APPROACHDiscover how to use statistics to extract information from SAR imageryIn SAR Image Analysis — A Computational Statistics Approach, an accomplished team of researchers delivers a practical exploration of how to use statistics to extract information from SAR imagery. The authors discuss various models, supply sample data and code, and explain theoretical aspects of SAR image ana...

Image processing comprises a broad variety of methods that operate on images to produce another image. A unique textbook, Introduction to Image Processing and Analysis establishes the programming involved in image processing and analysis by utilizing skills in C compiler and both Windows and MacOS programming environments. The provided mathematical background illustrates the workings of algorithms and emphasizes the practical reasons for using certain methods, their effect...

"Fundamentals of Digital Image Processing" is a comprehensive guide that delves into the intricacies of manipulating and analyzing digital images. We provide a thorough exploration of fundamental concepts, techniques, and applications in digital image processing. Catering to both beginners and seasoned professionals, the content spans a wide spectrum.Starting with the basics, we introduce core principles of digital image representation, pixel operations, and color models. We then pr...

This book covers current technological innovations and applications in image processing, introducing analysis techniques and describing applications in remote sensing and manufacturing, among others. The authors include new concepts of color space transformation like color interpolation, among others. Also, the concept of Shearlet Transform and Wavelet Transform and their implementation are discussed. The authors include a perspective about concepts and techniques of remote sensing like im...

This volume explores a wide range of advanced applications of intelligent technologies in image processing across diverse domains. It examines biological and biomedical imaging, highlighting the use of machine learning and deep learning techniques for the diagnosis and detection of conditions such as brain tumors, diabetes, pneumonia, and heart disease. Beyond healthcare, the book presents applications of intelligent computing in areas including plant identification and leaf disease detect...

Pillow is the most popular Python image processing library. It provides many of the features found in imaging applications like Photoshop or GIMP, such as loading, saving, resizing, transforming images, as well as converting colours and applying filters, enhancements, and effects. This book will teach you how to use simple Python code to automate these functions using the Pillow library, so that your programs can incorporate advanced image processing. It provides a comprehensive guide to P...