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OpenCV Computer Vision Application Programming Cookbook Second Edition

OpenCV Computer Vision Application Programming Cookbook Second Edition

By : Robert Laganiere
3.7 (3)
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OpenCV Computer Vision Application Programming Cookbook Second Edition

OpenCV Computer Vision Application Programming Cookbook Second Edition

3.7 (3)
By: Robert Laganiere

Overview of this book

OpenCV 3 Computer Vision Application Programming Cookbook is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It is also suitable for professional software developers wishing to be introduced to the concepts of computer vision programming. It can also be used as a companion book in a university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision.
Table of Contents (13 chapters)
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12
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...

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