Create Exercises_9_5.cpp

Exercises_9_5.cpp

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+//Exercises_9_5.cpp Exercises at end of Chapter 9
+#include <opencv2/opencv.hpp>
+#include <iostream>
+
+using namespace cv;
+using namespace std;
+
+
+void help(const char **argv) {
+	cout << "\n\n"
+		<< "This program solves the Exercise 4、5 at the end of Chapter 9 \n"
+		<< "Call:\n"
+		<< argv[0] << " <path/image_name1>" << " <path/image_name2>\n\n"
+		<< "For example: ./" << argv[0] << " ../left.jpg "<< " ../left.jpg\n"
+		<< endl;
+}
+
+int main( int argc, const char** argv )
+{
+	help(argv);
+	if(argc < 3) {
+		cout << "\nERROR: You had too few parameters.\n" << endl;
+		return -1;
+	}
+	Mat temp;
+	Mat temp2;
+ /************************************************************************/
+	/* 5.  Create an outline of an object. Take a picture of a scene. Then, without moving
+	the camera, put a coffee cup in the scene and take a second picture. Load these
+	images and convert both to 8-bit grayscale images.
+	a.  Take  the  absolute  value  of  their  difference.  Display  the  result,  which  should
+	look like a noisy mask of a coffee mug.
+	b.  Do a binary threshold of the resulting image using a level that preserves most
+	of the coffee mug but removes some of the noise. Display the result. The “on”
+	values should be set to 255.
+	c.  Do a cv::MOP_OPEN on the image to further clean up noise.
+	d.  Using  the  erosion  operator  and  logical  XOR  function,  turn  the  mask  of  the
+	coffee  cup  image  into  an  outline  of  the  coffee  cup  (only  the  edge  pixels
+	remaining).                                                                     */
+	/************************************************************************/
+	Mat matMug = imread(argv[1],IMREAD_GRAYSCALE);
+	Mat matNoMug = imread(argv[2],IMREAD_GRAYSCALE);
+	if (matMug.empty() || matNoMug.empty())
+	{
+		cout << "\nERROR: parameters is not a image name.\n" << endl;
+		return -1;
+	}
+	//a
+	absdiff(matMug,matNoMug,temp);
+	imshow("absolute  value  of  mug ",temp);
+	//b
+	threshold(temp,temp,100,255,THRESH_OTSU);
+	imshow("a binary threshold",temp);
+	//c
+	morphologyEx(temp,temp,cv::MORPH_OPEN,Mat());
+	imshow("MORPH_OPEN",temp);
+	//d
+	erode(temp,temp,Mat());
+	matMug.copyTo(temp2,temp);
+	imshow("an outline of the coffee cup",temp2);
+	waitKey();
+	return 0;
+
+}