diff --git a/samples/cpp/dft.cpp b/samples/cpp/dft.cpp
index 7d110ae04..ee1d9b165 100644
--- a/samples/cpp/dft.cpp
+++ b/samples/cpp/dft.cpp
@@ -2,31 +2,37 @@
 #include "opencv2/imgproc/imgproc.hpp"
 #include "opencv2/highgui/highgui.hpp"
 
-#include <iostream>
+#include <stdio.h>
+
 using namespace cv;
 using namespace std;
 
 void help()
 {
-	cout << "\nThis program demonstrated the use of the discrete Fourier transform (dft)\n"
-			"The dft of an image is taken and it's power spectrum is displayed.\n"
-			"Call:\n"
-			"./dft [image_name -- default lena.jpg]\n" << endl;
+	printf("\nThis program demonstrated the use of the discrete Fourier transform (dft)\n"
+		   "The dft of an image is taken and it's power spectrum is displayed.\n"
+		   "Usage:\n"
+			"./dft [image_name -- default lena.jpg]\n");
 }
 
-
-
-int main(int argc, char ** argv)
+const char* keys = 
 {
-    const char* filename = argc >=2 ? argv[1] : "lena.jpg";
+	"{1| |lena.jpg|input image file}"
+};
 
-    Mat img = imread(filename, CV_LOAD_IMAGE_GRAYSCALE);
+int main(int argc, const char ** argv)
+{
+    help();
+	CommandLineParser parser(argc, argv, keys);
+	string filename = parser.get<string>("1");
+
+	Mat img = imread(filename.c_str(), CV_LOAD_IMAGE_GRAYSCALE);
     if( img.empty() )
     {
         help();
+		printf("Cannot read image file: %s\n", filename.c_str());
         return -1;
     }
-    help();
     int M = getOptimalDFTSize( img.rows );
     int N = getOptimalDFTSize( img.cols );
     Mat padded;
diff --git a/samples/cpp/distrans.cpp b/samples/cpp/distrans.cpp
index cae24f5db..2cae7e754 100644
--- a/samples/cpp/distrans.cpp
+++ b/samples/cpp/distrans.cpp
@@ -5,24 +5,6 @@
 
 using namespace cv;
 
-void help()
-{
-	printf("\nProgram to demonstrate the use of the distance transform function between edge images.\n"
-			"Usage:\n"
-			"./distrans [image_name -- default image is stuff.jpg]\n"
-			);
-    printf( "\nHot keys: \n"
-        "\tESC - quit the program\n"
-        "\tC - use C/Inf metric\n"
-        "\tL1 - use L1 metric\n"
-        "\tL2 - use L2 metric\n"
-        "\t3 - use 3x3 mask\n"
-        "\t5 - use 5x5 mask\n"
-        "\t0 - use precise distance transform\n"
-        "\tv - switch Voronoi diagram mode on/off\n"
-        "\tSPACE - loop through all the modes\n" );
-}
-
 int maskSize0 = CV_DIST_MASK_5;
 bool buildVoronoi = false;
 int edgeThresh = 100;
@@ -101,17 +83,41 @@ void onTrackbar( int, void* )
     imshow("Distance Map", dist8u );
 }
 
-int main( int argc, char** argv )
+void help()
 {
-    char* filename = argc == 2 ? argv[1] : (char*)"stuff.jpg";
-    gray = imread(filename, 0);
+	printf("\nProgram to demonstrate the use of the distance transform function between edge images.\n"
+			"Usage:\n"
+			"./distrans [image_name -- default image is stuff.jpg]\n"
+			"\nHot keys: \n"
+			"\tESC - quit the program\n"
+			"\tC - use C/Inf metric\n"
+			"\tL1 - use L1 metric\n"
+			"\tL2 - use L2 metric\n"
+			"\t3 - use 3x3 mask\n"
+			"\t5 - use 5x5 mask\n"
+			"\t0 - use precise distance transform\n"
+			"\tv - switch Voronoi diagram mode on/off\n"
+			"\tSPACE - loop through all the modes\n\n");
+}
+
+const char* keys = 
+{
+	"{1| |stuff.jpg|input image file}"
+};
+
+int main( int argc, const char** argv )
+{
+    help();
+	CommandLineParser parser(argc, argv, keys);
+	string filename = parser.get<string>("1");
+	gray = imread(filename.c_str(), 0);
     if(gray.empty())
     {
-    	help();
+		printf("Cannot read image file: %s\n", filename.c_str());
+		help();
     	return -1;
     }
 
-    help();
     namedWindow("Distance Map", 1);
     createTrackbar("Brightness Threshold", "Distance Map", &edgeThresh, 255, onTrackbar, 0);
 
diff --git a/samples/cpp/drawing.cpp b/samples/cpp/drawing.cpp
index 96dcce01e..3ff4714e3 100644
--- a/samples/cpp/drawing.cpp
+++ b/samples/cpp/drawing.cpp
@@ -1,14 +1,13 @@
 #include "opencv2/core/core.hpp"
 #include "opencv2/highgui/highgui.hpp"
-#include <iostream>
+#include <stdio.h>
 using namespace cv;
 
 void help()
 {
-	std::cout
-	<< "\nThis program demonstrates OpenCV drawing and text output functions.\n"
-	"Call:\n"
-	"./drawing\n" << std::endl;
+	printf("\nThis program demonstrates OpenCV drawing and text output functions.\n"
+	"Usage:\n"
+	"	./drawing\n");
 }
 static Scalar randomColor(RNG& rng)
 {
@@ -16,9 +15,10 @@ static Scalar randomColor(RNG& rng)
     return Scalar(icolor&255, (icolor>>8)&255, (icolor>>16)&255);
 }
 
-int main( int, char** )
+int main()
 {
-    char wndname[] = "Drawing Demo";
+    help();
+	char wndname[] = "Drawing Demo";
     const int NUMBER = 100;
     const int DELAY = 5;
     int lineType = CV_AA; // change it to 8 to see non-antialiased graphics
diff --git a/samples/cpp/edge.cpp b/samples/cpp/edge.cpp
index c30b086ed..a76176ac9 100644
--- a/samples/cpp/edge.cpp
+++ b/samples/cpp/edge.cpp
@@ -1,20 +1,11 @@
 #include "opencv2/imgproc/imgproc.hpp"
 #include "opencv2/highgui/highgui.hpp"
 
-#include <iostream>
+#include <stdio.h>
 
 using namespace cv;
 using namespace std;
 
-void help()
-{
-	cout <<
-			"\nDemonstrate Canny edge detection\n"
-			"Call:\n"
-			"/.edge [image_name -- Default is fruits.jpg]\n" << endl;
-
-}
-
 int edgeThresh = 1;
 Mat image, gray, edge, cedge;
 
@@ -31,17 +22,32 @@ void onTrackbar(int, void*)
     imshow("Edge map", cedge);
 }
 
-int main( int argc, char** argv )
+void help()
 {
-    char* filename = argc == 2 ? argv[1] : (char*)"fruits.jpg";
+	printf("\nThis sample demonstrates Canny edge detection\n"
+		   "Call:\n"
+		   "	/.edge [image_name -- Default is fruits.jpg]\n\n");
+}
+
+const char* keys = 
+{
+	"{1| |fruits.jpg|input image name}"
+};
+
+int main( int argc, const char** argv )
+{
+    help();
+
+	CommandLineParser parser(argc, argv, keys);
+	string filename = parser.get<string>("1");
 
     image = imread(filename, 1);
     if(image.empty())
     {
-    	help();
+		printf("Cannot read image file: %s\n", filename.c_str());
+		help();
         return -1;
     }
-    help();
     cedge.create(image.size(), image.type());
     cvtColor(image, gray, CV_BGR2GRAY);