checked 12 and 13. Minor fixes

README.md

@@ -20,13 +20,13 @@ In progress June 30, 2017
 * ~~Chapter 22~~
 
 Checking Chapters
-~~2, 3, 4, 5, 6, 7, 8, 9, 10, 11,~~ 12, 13, 14, ~~15 16 17 18 19 20 21 22 23~~
+~~2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,~~ 14, 15 16 17 18 19 20 21 22 23
 
 * Submit associated errata for ~~15 16~~ 17 18 19 20 21 22
 * Throw in some bonus material
   * ~~background subtraction~~
   * feature detector/descriptors
-  * ~~More mac~~ hine learning(?) ... ongoing!
+  * ~~More mac~~ machine learning(?) ... ongoing!
   * Some new stuff in opencv_contrib
   * Some DNN examples(?)
 * ~~Throw in some exercises~~ ... ongoing!

example_12-01.cpp

@@ -1,5 +1,6 @@
-// Using cv::dft() and cv::idft() to accelerate the computation of
-// convolutions
+// Example 12-1. Using cv::dft() and cv::idft() to accelerate the computation of
+// convolutions 
+
 
 #include <opencv2/opencv.hpp>
 #include <iostream>
@@ -9,7 +10,9 @@ using namespace std;
 int main(int argc, char** argv) {
 
   if(argc != 2) {
-    cout << "Fourier Transform\nUsage: " <<argv[0] <<" <imagename>" << endl;
+	cout 	<< "\nExample 12-1. Using cv::dft() and cv::idft() to accelerate the"
+			<< "\n computation of convolutions"
+			<< "\nFourier Transform\nUsage: " <<argv[0] <<" <path/imagename>\n" << endl;
     return -1;
   }
 

example_12-02.cpp

@@ -11,7 +11,8 @@ using namespace std;
 int main(int argc, char** argv) {
 
   if(argc != 2) {
-  cout << "Hough Circle detect\nUsage: " <<argv[0] <<" <imagename>\n" << endl;
+	cout 	<< "\nExample 12-1. Using cv::dft() and cv::idft() to accelerate the computation of convolutions"  
+			<< "\nHough Circle detect\nUsage: " <<argv[0] <<" <path/imagename>\n" << endl;
   return -1;
   }
 

example_13-01.cpp

@@ -7,7 +7,8 @@ using namespace std;
 
 int main( int argc, char** argv ){
   if(argc != 2) {
-    cout << "Computer Color Histogram\nUsage: " <<argv[0] <<" <imagename>" << endl;
+	  cout << "\n// Example 13-1. Histogram computation and display" << endl;
+    cout << "\nComputer Color Histogram\nUsage: " <<argv[0] <<" <imagename>\n" << endl;
     return -1;
   }
 

example_13-02.cpp

@@ -8,12 +8,15 @@
 using namespace std;
 
 void help( char** argv ){
+	cout << "//\nExample 13-2. Creating signatures from histograms for EMD; note that this code is the"
+		<< "\n// source of the data in Table 13-1, in which the hand histogram is compared in different"
+		<< "\n// lighting conditions\n\n" << endl;
   cout << "\nCall is:\n"
   << argv[0] <<" modelImage0 testImage1 testImage2 badImage3\n\n"
   << "for example: " << argv[0]
-  << " HandIndoorColor.jpg HandOutdoorColor.jpg "
-  << "HandOutdoorSunColor.jpg fruits.jpg\n"
-  << "\n";
+  << " ../HandIndoorColor.jpg ../HandOutdoorColor.jpg "
+  << "../HandOutdoorSunColor.jpg ../fruits.jpg\n"
+  << "\n" << endl;
 }
 
 // Compare 3 images' histograms

example_13-03.cpp

@@ -7,9 +7,10 @@ using namespace std;
 
 void help( char** argv ){
   cout << "\n"
-  <<"Example of using matchTemplate(). The call is:\n"
+  <<"\nExample 13-3: using matchTemplate(). The call is:\n"
   <<"\n"
-  <<argv[0] <<" template image_to_be_searched\n"
+  <<argv[0] <<" <template> <image_to_be_searched?\n"
+  << "\nExample:\n" << argv[0] << "../BlueCup.jpg ../adrian.jpg"
   <<"\n"
   <<" This routine will search using all methods:\n"
   <<" cv::TM_SQDIFF 0\n"
@@ -18,7 +19,7 @@ void help( char** argv ){
   <<" cv::TM_CCORR_NORMED 3\n"
   <<" cv::TM_CCOEFF 4\n"
   <<" cv::TM_CCOEFF_NORMED 5\n"
-  <<"\n";
+  <<"\n" << endl;
 }
 
 // Display the results of the matches