Book Image

OpenCV Computer Vision Application Programming Cookbook Second Edition

By : Robert Laganiere
Book Image

OpenCV Computer Vision Application Programming Cookbook Second Edition

By: Robert Laganiere

Overview of this book

Table of Contents (18 chapters)
OpenCV Computer Vision Application Programming Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Applying directional filters to detect edges


The first recipe of this chapter introduced the idea of linear filtering using kernel matrices. The filters that were used had the effect of blurring an image by removing or attenuating its high-frequency components. In this recipe, we will perform the opposite transformation, that is, amplifying the high-frequency content of an image. As a result, the high-pass filters introduced here will perform edge detection.

How to do it...

The filter that we will use here is called the Sobel filter. It is said to be a directional filter, because it only affects the vertical or the horizontal image frequencies depending on which kernel of the filter is used. OpenCV has a function that applies the Sobel operator on an image. The horizontal filter is called as follows:

  cv::Sobel(image,    // input
           sobelX,    // output
           CV_8U,     // image type
           1, 0,      // kernel specification
           3,         // size of the square kernel...