Image Processing Recipes in MATLAB

Автор: literator от 13-04-2024, 05:24, Коментариев: 0


Название: Image Processing Recipes in MATLAB
Автор: Oge Marques, Gustavo Benvenutti Borba
Издательство: CRC Press
Год: 2024
Страниц: 263
Язык: английский
Формат: pdf (true)
Размер: 32.5 MB

Leveraging the latest developments in MATLAB and its image processing toolbox, this 'cookbook' is a collection of 30 practical recipes for image processing, ranging from foundational techniques to recently published algorithms. Presented in a clear and meaningful sequence, these recipes are prepared with the reader in mind, allowing one to focus on particular topics or read as a whole from cover to cover.

This is a cookbook containing 30 recipes that showcase classic and modern image processing techniques using MATLAB. This book aims to provide a concise and easily understandable reference for deploying image processing pipelines quickly and efficiently in MATLAB. The recipes cover the latest developments in MATLAB and relevant toolboxes, including a wide range of image processing methods. These methods range from foundational techniques found in textbooks to popular contemporary algorithms.

This book is intended for researchers, students, developers, and practitioners in the area of visual media processing, such as computer vision, image processing, image and video analysis, image retrieval, and multimedia. The recipes are organized into Parts and presented in a meaningful sequence to facilitate reading from cover to cover. Each recipe is self-contained and includes step-by-step instructions, source code, figures, brief discussions, and references for further learning.

This cookbook serves as both an introductory guide for novices in image processing and a succinct reference for seasoned practitioners. We’re confident that its unique format makes it a worthy addition to your collection, either as an independent resource or alongside comprehensive texts in the field.

Key Features:

A practical, user-friendly guide that equips researchers and practitioners with the tools to implement efficient image processing workflows in MATLAB.
Each recipe is presented through clear, step-by-step instructions and rich visual examples.
Each recipe contains its own source code, explanations, and figures, making the book an excellent standalone resource for quick reference.
Strategically structured to aid sequential learning, yet with self-contained chapters for those seeking solutions to specific image processing challenges.

The book serves as a concise and readable practical reference to deploy image processing pipelines in MATLAB quickly and efficiently. With its accessible and practical approach, the book is a valuable guide for those who navigate this evolving area, including researchers, students, developers, and practitioners in the fields of image processing, computer vision, and image analysis.

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