OpenCV Android Programming By Example: Leverage OpenCV to develop vision-aware and intelligent Android applications.

Amgad Muhammad

R$49.99 ~~R$147.99~~

4 (1 Ratings)

eBook Dec 2015 202 pages 1st Edition

Amgad Muhammad

R$49.99 ~~R$147.99~~

4 (1 Ratings)

eBook Dec 2015 202 pages 1st Edition

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Key benefits

• This is the most up-to-date book on OpenCV Android programming on the market at the moment. There is no direct competition for our title.
• Based on a technology that is increasing in popularity, proven by activity in forums related to this topic.
• This book uniquely covers applications such as the Panoramic viewer and Automatic Selfie, among others.

Description

Starting from the basics of computer vision and OpenCV, we'll take you all the way to creating exciting applications. You will discover that, though computer vision is a challenging subject, the ideas and algorithms used are simple and intuitive, and you will appreciate the abstraction layer that OpenCV uses to do the heavy lifting for you. Packed with many examples, the book will help you understand the main data structures used within OpenCV, and how you can use them to gain performance boosts. Next we will discuss and use several image processing algorithms such as histogram equalization, filters, and color space conversion. You then will learn about image gradients and how they are used in many shape analysis techniques such as edge detection, Hough Line Transform, and Hough Circle Transform. In addition to using shape analysis to find things in images, you will learn how to describe objects in images in a more robust way using different feature detectors and descriptors. By the end of this book, you will be able to make intelligent decisions using the famous Adaboost learning algorithm.

Who is this book for?

If you are an Android developer and want to know how to implement vision-aware applications using OpenCV, then this book is definitely for you. It would be very helpful if you understand the basics of image processing and computer vision, but no prior experience is required

What you will learn

Identify and install all the elements needed to start building vision-aware Android applications
Explore image representation, colored and gray scale
Recognize and apply convolution operations and filtering to deal with noisy data
Use different shape analysis techniques
Extract and identify interest points in an image
Understand and perform object detection
Run native computer vision algorithms and gain performance boosts

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

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Walter Sep 13, 2023

The book covers a interesting topic, but there is certainly some bugfixing involved if you use a newer library version and android obviously too:Obviously first of all you can just use IntelliJ or android studio for android developmentIt was challenging to get into the first chapters, because the file / image chooser from the beginning works differently in 2023, as android doesnt like file paths at all by now, and the file choosing must happen as input stream directly from the loaded Uri. The getPath method is obsolete because android doesnt want you to use them anymore, instead use a mediaquery. Android will refuse to give the app read access like back when in 2015 the book released.--->To inread image from storage:InputStream inputStream = getContentResolver().openInputStream(selectedImageUri); Mat imageMat = Imgcodecs.imdecode(new MatOfByte(IOUtils.toByteArray(inputStream)), Imgcodecs.IMREAD_COLOR);-> obviously you have to fix the load-image method aswell and skip the path making thing and just set the loaded image as original image to work with, instead of reading the path.----I also had trouble with installing Open Cv itself, but that can be fixed by using opencv from quickbirds from GitHub and use their solution by loading it with the (app)-build.gradle file.-----The async method, to check if open cv is loaded, made my app crash aswell, just use a log msg: Log.d("OpenCv loaded: " + OpenCVLoader.initDebug());-----Other than that i am half way through the book and some method names have changed, still its a great book to get into OpenCv i guess.

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OpenCV Android Programming By Example: Leverage OpenCV to develop vision-aware and intelligent Android applications.

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