Book Image

Cinder Creative Coding Cookbook

Book Image

Cinder Creative Coding Cookbook

Overview of this book

Cinder is one of the most exciting frameworks available for creative coding. It is developed in C++ for increased performance and allows for the fast creation of visually complex, interactive applications."Cinder Creative Coding Cookbook" will show you how to develop interactive and visually dynamic applications using simple-to-follow recipes.You will learn how to use multimedia content, draw generative graphics in 2D and 3D, and animate them in compelling ways. Beginning with creating simple projects with Cinder, you will use multimedia, create animations, and interact with the user.From animation with particles to using video, audio, and images, the reader will gain a broad knowledge of creating applications using Cinder.With recipes that include drawing in 3D, image processing, and sensing and tracking in real-time from camera input, the book will teach you how to develop interesting applications."Cinder Creative Coding Cookbook" will give you the necessary knowledge to start creating projects with Cinder that use animations and advanced visuals.
Table of Contents (19 chapters)
Cinder Creative Coding Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Detecting edges


In this recipe, we will demonstrate how to use edge detection function, which is one of the image processing functions implemented directly in Cinder.

Getting ready

Make sure you have Xcode up and running with an empty Cinder project opened. We will need a sample image to proceed, so save it in your assets folder as image.png.

How to do it…

We will process the sample image with the edge detection function. Perform the following steps to do so:

  1. Include necessary headers:

    #include "cinder/gl/Texture.h"
    #include "cinder/Surface.h"
    #include "cinder/ImageIo.h"
    
    #include "cinder/ip/EdgeDetect.h"
    #include "cinder/ip/Grayscale.h"
  2. Add two properties to your main class:

    Surface8u mImageOutput;
  3. Load the source image and set up Surface for processed images inside the setup method:

    mImage = loadImage( loadAsset("image.png") );
    mImageOutput = Surface8u(mImage.getWidth(), mImage.getHeight(), false);
  4. Use image processing functions:

    ip::grayscale(mImage, &mImage);
    ip::edgeDetectSobel(mImage, &amp...