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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++

Text detection

Let's start by creating a simple program so that we can perform text segmentation using ERFilters. In this program, we will use the trained classifiers from text API samples. You may download this from the OpenCV repository, but they are also available in this book's companion code.

First, we start by including all of the necessary libs and usings:

#include  "opencv2/highgui.hpp" 
#include  "opencv2/imgproc.hpp" 
#include  "opencv2/text.hpp" 
 
#include  <vector> 
#include  <iostream> 
 
using namespace std; 
using namespace cv; 
using namespace cv::text; 

Recall from the Extremal region filtering section that the ERFilter works separately in each image channel. Therefore, we must provide a way to separate each desired channel in a different ...

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Publisher Resources

ISBN: 9781838644673Supplemental Content