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--- opencv_tutorials_t7 [2016/06/07 15:43] – joaomatos
+++ opencv_tutorials_t7 [2016/06/07 15:57] (current) – joaomatos
@@ Line 4: / Line 4: @@
  I recommend you to type the code on your own to get familiarized with the program language. If you have trouble , the original code is attached bellow ( Running on Visual Studio 2015 + OpenCV 3.1 ) * Check the installation guide to make sure that you linked all the OpenCV modules to your Visual Studio.
+{{::track_by_image_moments.rar| Track Object by image moments}}
 ----
 ===== Tracking an object using image moments =====
+{{ ::track_moment.jpg?direct |}}
 <Code C++ linenums:1>
@@ Line 54: / Line 57: @@
 }
-//Function to create a window with the Trackbars to apply the Thresholding.
+//Function to create a window with the Trackbars to apply the Threshold.
 void createTrackbars() {
@@ Line 81: / Line 84: @@
 	//Defining the erode and dilate properties
 	//the erode element chosen here is a 3x3 piexels rectangle.
-	//Change the Size argument to optimize your thresholding.
+	//Change the Size argument to optimize your threshold.
-	//dilate with 8x8 size element to make the thresholding object more visible
+	//dilate with 8x8 size element to make the threshold object more visible
 	Mat erodeElement = getStructuringElement(MORPH_RECT, Size(3, 3));
@@ Line 298: / Line 301: @@
 <Code C++ linenums:45>
-//Function to create a window with the Trackbars to apply the Thresholding.
+//Function to create a window with the Trackbars to apply the Threshold.
 void createTrackbars() {
@@ Line 329: / Line 332: @@
 	//Defining the erode and dilate properties
 	//the erode element chosen here is a 3x3 piexels rectangle.
-	//Change the Size argument to optimize your thresholding.
+	//Change the Size argument to optimize your threshold.
-	//dilate with 8x8 size element to make the thresholding object more visible
+	//dilate with 8x8 size element to make the threshold object more visible
 	Mat erodeElement = getStructuringElement(MORPH_RECT, Size(3, 3));
@@ Line 546: / Line 549: @@
  Here we create the on/off toggles to use the morphological transformations (by pressing 'm') and to run the tracking algorithm (by pressing 't') . Each time 'm' or 't' is pressed the Booleans useTrack and useFeatures will change values from TRUE to FALSE and vice-versa. Every time these values are TRUE , it will enter inside the conditional loop that will call the respective functions , **"DilateAndErode()"** and **"TrackObject()"**.
+----
+<Code C++ linenums:226>
+                //show frames
+		imshow("Threshold Image", threshold);
+		imshow("Live Web Cam", coloredimage);
+		imshow("HSV Image", HSV);
+		key = waitKey(25);
+	}
+	return 0;
+}
+</Code>
+ Finally we open and display three different windows to show the Live web cam video , the threshold version and the HSV version. The key value is updated using **"key = waitKey(25)"**. And our program is done !