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Building Computer Vision Projects with OpenCV 4 and C++
book

Building Computer Vision Projects with OpenCV 4 and C++

by David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
March 2019
Intermediate to advanced
538 pages
13h 38m
English
Packt Publishing
Content preview from Building Computer Vision Projects with OpenCV 4 and C++

Creating connected areas

If you take a closer look at the image, you'll notice that the letters are always together in blocks, formed by text paragraphs. That leaves us with the question, how do we detect and remove these blocks?

The first step is to make these blocks even more evident. We can do this by using the dilation morphological operator. Recall from Chapter 8, Video Surveillance, Background Modeling, and Morphological Operations, that dilation makes the image elements thicker. Let's look at a small code snippet that does the trick:

auto kernel = getStructuringElement(MORPH_CROSS, Size(3,3)); 
Mat dilated; 
dilate(input, dilated, kernel, cv::Point(-1, -1), 5); 
imshow("Dilated", dilated); 

In the preceding code, we start by creating ...

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Publisher Resources

ISBN: 9781838644673Supplemental Content