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/*------------------------------------------------------------------------------------------*\
This file contains material supporting chapter 6 of the cookbook:
Computer Vision Programming using the OpenCV Library.
by Robert Laganiere, Packt Publishing, 2011.
This program is free software; permission is hereby granted to use, copy, modify,
and distribute this source code, or portions thereof, for any purpose, without fee,
subject to the restriction that the copyright notice may not be removed
or altered from any source or altered source distribution.
The software is released on an as-is basis and without any warranties of any kind.
In particular, the software is not guaranteed to be fault-tolerant or free from failure.
The author disclaims all warranties with regard to this software, any use,
and any consequent failure, is purely the responsibility of the user.
Copyright (C) 2010-2011 Robert Laganiere, www.laganiere.name
\*------------------------------------------------------------------------------------------*/
#include <iostream>
#include <iomanip>
#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include "laplacianZC.h"
int main()
{
// Read input image
cv::Mat image= cv::imread("../boldt.jpg",0);
if (!image.data)
return 0;
// Display the image
cv::namedWindow("Original Image");
cv::imshow("Original Image",image);
// Compute Sobel X derivative
cv::Mat sobelX;
cv::Sobel(image,sobelX,CV_8U,1,0,3,0.4,128);
// Display the image
cv::namedWindow("Sobel X Image");
cv::imshow("Sobel X Image",sobelX);
// Compute Sobel Y derivative
cv::Mat sobelY;
cv::Sobel(image,sobelY,CV_8U,0,1,3,0.4,128);
// Display the image
cv::namedWindow("Sobel Y Image");
cv::imshow("Sobel Y Image",sobelY);
// Compute norm of Sobel
cv::Sobel(image,sobelX,CV_16S,1,0);
cv::Sobel(image,sobelY,CV_16S,0,1);
cv::Mat sobel;
//compute the L1 norm
sobel= abs(sobelX)+abs(sobelY);
double sobmin, sobmax;
cv::minMaxLoc(sobel,&sobmin,&sobmax);
std::cout << "sobel value range: " << sobmin << " " << sobmax << std::endl;
// Print window pixel values
for (int i=0; i<12; i++) {
for (int j=0; j<12; j++)
std::cout << std::setw(5) << static_cast<int>(sobel.at<short>(i+135,j+362)) << " ";
std::cout << std::endl;
}
std::cout << std::endl;
std::cout << std::endl;
std::cout << std::endl;
// Conversion to 8-bit image
// sobelImage = -alpha*sobel + 255
cv::Mat sobelImage;
sobel.convertTo(sobelImage,CV_8U,-255./sobmax,255);
// Display the image
cv::namedWindow("Sobel Image");
cv::imshow("Sobel Image",sobelImage);
// Apply threshold to Sobel norm (low threshold value)
cv::Mat sobelThresholded;
cv::threshold(sobelImage, sobelThresholded, 225, 255, cv::THRESH_BINARY);
// Display the image
cv::namedWindow("Binary Sobel Image (low)");
cv::imshow("Binary Sobel Image (low)",sobelThresholded);
// Apply threshold to Sobel norm (high threshold value)
cv::threshold(sobelImage, sobelThresholded, 190, 255, cv::THRESH_BINARY);
// Display the image
cv::namedWindow("Binary Sobel Image (high)");
cv::imshow("Binary Sobel Image (high)",sobelThresholded);
// Compute Laplacian 3x3
cv::Mat laplace;
cv::Laplacian(image,laplace,CV_8U,1,1,128);
// Display the image
cv::namedWindow("Laplacian Image");
cv::imshow("Laplacian Image",laplace);
// Print window pixel values
for (int i=0; i<12; i++) {
for (int j=0; j<12; j++)
std::cout << std::setw(5) << static_cast<int>(laplace.at<uchar>(i+135,j+362))-128 << " ";
std::cout << std::endl;
}
std::cout << std::endl;
std::cout << std::endl;
std::cout << std::endl;
// Compute Laplacian 7x7
cv::Laplacian(image,laplace,CV_8U,7,0.01,128);
// Display the image
cv::namedWindow("Laplacian Image");
cv::imshow("Laplacian Image",laplace);
// Print window pixel values
for (int i=0; i<12; i++) {
for (int j=0; j<12; j++)
std::cout << std::setw(5) << static_cast<int>(laplace.at<uchar>(i+135,j+362))-128 << " ";
std::cout << std::endl;
}
// Extract small window
cv::Mat window(image,cv::Rect(362,135,12,12));
cv::namedWindow("Image window");
cv::imshow("Image window",window);
cv::imwrite("window.bmp",window);
// Compute Laplacian using LaplacianZC class
LaplacianZC laplacian;
laplacian.setAperture(7);
cv::Mat flap= laplacian.computeLaplacian(image);
double lapmin, lapmax;
cv::minMaxLoc(flap,&lapmin,&lapmax);
std::cout << "Laplacian value range=[" << lapmin << "," << lapmax << "]\n";
laplace= laplacian.getLaplacianImage();
cv::namedWindow("Laplacian Image (7x7)");
cv::imshow("Laplacian Image (7x7)",laplace);
// Print Laplacian values
std::cout << std::endl;
for (int i=0; i<12; i++) {
for (int j=0; j<12; j++)
std::cout << std::setw(5) << static_cast<int>(flap.at<float>(i+135,j+362)/100) << " ";
std::cout << std::endl;
}
std::cout << std::endl;
// Compute and display the zero-crossing points
cv::Mat zeros;
zeros= laplacian.getZeroCrossings(lapmax);
cv::namedWindow("Zero-crossings");
cv::imshow("Zero-crossings",zeros);
// Compute and display the zero-crossing points (Sobel version)
zeros= laplacian.getZeroCrossings();
zeros= laplacian.getZeroCrossingsWithSobel(50);
cv::namedWindow("Zero-crossings (2)");
cv::imshow("Zero-crossings (2)",zeros);
// Print window pixel values
for (int i=0; i<12; i++) {
for (int j=0; j<12; j++)
std::cout << std::setw(2) << static_cast<int>(zeros.at<uchar>(i+135,j+362)) << " ";
std::cout << std::endl;
}
// Display the image with window
cv::rectangle(image,cv::Point(362,135),cv::Point(374,147),cv::Scalar(255,255,255));
cv::namedWindow("Original Image with window");
cv::imshow("Original Image with window",image);
cv::waitKey();
return 0;
}