Hands-On Computer Vision with Julia (eBook)
202 Seiten
Packt Publishing (Verlag)
978-1-78899-923-6 (ISBN)
Hands-On Computer Vision with Julia is a thorough guide for developers who want to get started with building computer vision applications using Julia. Julia is well suited to image processing because it's easy to use and lets you write easy-to-compile and efficient machine code.
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This book begins by introducing you to Julia's image processing libraries such as Images.jl and ImageCore.jl. You'll get to grips with analyzing and transforming images using JuliaImages; some of the techniques discussed include enhancing and adjusting images. As you make your way through the chapters, you'll learn how to classify images, cluster them, and apply neural networks to solve computer vision problems. In the concluding chapters, you will explore OpenCV applications to perform real-time computer vision analysis, for example, face detection and object tracking. You will also understand Julia's interaction with Tesseract to perform optical character recognition and build an application that brings together all the techniques we introduced previously to consolidate the concepts learned.
By end of the book, you will have understood how to utilize various Julia packages and a few open source libraries such as Tesseract and OpenCV to solve computer vision problems with ease.
Explore the various packages in Julia that support image processing and build neural networks for video processing and object tracking.About This BookBuild a full-fledged image processing application using JuliaImagesPerform basic to advanced image and video stream processing with Julia's APIsUnderstand and optimize various features of OpenCV with easy examplesWho This Book Is ForHands-On Computer Vision with Julia is for Julia developers who are interested in learning how to perform image processing and want to explore the field of computer vision. Basic knowledge of Julia will help you understand the concepts more effectively.What You Will LearnAnalyze image metadata and identify critical data using JuliaImagesApply filters and improve image quality and color schemesExtract 2D features for image comparison using JuliaFeaturesCluster and classify images with KNN/SVM machine learning algorithmsRecognize text in an image using the Tesseract libraryUse OpenCV to recognize specific objects or faces in images and videosBuild neural network and classify images with MXNetIn DetailHands-On Computer Vision with Julia is a thorough guide for developers who want to get started with building computer vision applications using Julia. Julia is well suited to image processing because it's easy to use and lets you write easy-to-compile and efficient machine code.This book begins by introducing you to Julia's image processing libraries such as Images.jl and ImageCore.jl. You'll get to grips with analyzing and transforming images using JuliaImages; some of the techniques discussed include enhancing and adjusting images. As you make your way through the chapters, you'll learn how to classify images, cluster them, and apply neural networks to solve computer vision problems. In the concluding chapters, you will explore OpenCV applications to perform real-time computer vision analysis, for example, face detection and object tracking. You will also understand Julia's interaction with Tesseract to perform optical character recognition and build an application that brings together all the techniques we introduced previously to consolidate the concepts learned.By end of the book, you will have understood how to utilize various Julia packages and a few open source libraries such as Tesseract and OpenCV to solve computer vision problems with ease.Style and approachReaders will be taken through various packages that support image processing in Julia, and will also tap into open-source libraries such as Open CV and Tesseract to find the optimum solution to problems encountered in computer vision.
| Erscheint lt. Verlag | 29.6.2018 |
|---|---|
| Sprache | englisch |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| ISBN-10 | 1-78899-923-1 / 1788999231 |
| ISBN-13 | 978-1-78899-923-6 / 9781788999236 |
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