gistfile1.txt

//##using C++ library##
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
using namespace std;
//##using openCV library##
#include "cv.h"
#include "highgui.h"
#include "cxcore.h"

using namespace cv;

int main ( int argc, char **argv ) //--------------MAIN BODY---------------
{
//VideoCapture webCam(0); // video source for webcam
//webCam.set(CV_CAP_PROP_FRAME_WIDTH,640);
//webCam.set(CV_CAP_PROP_FRAME_HEIGHT,480);
// slices matrcies that hold H,S and V
vector<Mat> slices;
// Cross Element for Erosion/Dilation
Mat cross = getStructuringElement(MORPH_CROSS, Size(5,5));
// create matrices to hold image
Mat camImage;  	// raw image from webcam
Mat blurImage;		// blur image
Mat hsvImage;		// hsv image 
Mat hue;			// hue channel
Mat hue1;			// Hue upper bound
Mat hue2;			// Hue lower bound
Mat hue3;			// hue color filtering
Mat sat;			// Sat channel
Mat sat1;			// Sat upper bound
Mat sat2;			// sat lower bound
Mat sat3;			// sat color filtering
Mat val;			// Val channel
Mat val1;			// Val upper bound
Mat val2;			// Val lower bound
Mat val3;			// Val color filtering
Mat erd;			// Erosion Image
Mat dia;			// dialate image
Mat HnS;			// sat and hue channel
Mat HSV;			// HSV color fiter detected
int thresh;

// slide bar values
int HuethresH =0, 
HuethresL =0,
SatthresL =0,
SatthresH = 0,
ValthresL =0,
ValthresH = 0,
erosionCount = 1,
blurSize = 3;

// new window
cvNamedWindow("Color Tune",CV_WINDOW_NORMAL);
	
// make tune bar
cvCreateTrackbar( "Hue UpperT","Color Tune", &HuethresH, 255, 0 );
cvCreateTrackbar ("Hue LowerT","Color Tune", &HuethresL,255, 0);
cvCreateTrackbar( "Sat UpperT","Color Tune", &SatthresH, 255, 0 );
cvCreateTrackbar( "Sat LowerT","Color Tune", &SatthresL, 255, 0 );
cvCreateTrackbar( "Val UpperT","Color Tune", &ValthresH, 255, 0 );
cvCreateTrackbar( "Val LowerT","Color Tune", &ValthresL, 255, 0 );
cvCreateTrackbar ("EroTime","Color Tune", &erosionCount,15, 0);
cvCreateTrackbar ("BlurSize","Color Tune", &blurSize,15, 0);
createTrackbar( "Threshold:", "Source", &thresh,255, 0);
// check blurSize bound
if(blurSize == 0)
blurSize = 1; //reset blurSize
	
// get and display webcam image
while(1)
{
 // get new image over and over from webcam
 camImage = imread("image.jpeg", CV_LOAD_IMAGE_COLOR);
 
 // check blurSize bound
if(blurSize == 0)
blurSize = 1; //reset blurSize

// blur image
//blur(camImage, blurImage, Size(11,11));
blur(camImage, blurImage, Size(blurSize,blurSize));
		
// conver raw image to hsv
cvtColor (camImage, hsvImage, CV_RGB2HSV);

// check blurSize bound
if(blurSize == 0)
blurSize = 1; //reset blurSize
blur(hsvImage, hsvImage, Size(blurSize,blurSize));
//blur(hsvImage, hsvImage, Size(5,5));

// split image to H,S and V images
split(hsvImage,slices);

slices[0].copyTo (hue); // get the hue channel
slices[1].copyTo(sat); // get the sat channel
slices[2].copyTo(val); // get the V channel
//apply threshold HUE upper/lower for color range
threshold (hue,hue1,HuethresL,255, CV_THRESH_BINARY); // get lower bound
threshold (hue, hue2,HuethresH,255, CV_THRESH_BINARY_INV); // get upper bound

hue3 = hue1 &hue2; // multiply 2 matrix to get the color range

// apply thresshold for Sat channel
threshold (sat,sat1,SatthresL,255, CV_THRESH_BINARY); // get lower bound
threshold (sat, sat2,SatthresH,255, CV_THRESH_BINARY_INV); // get upper bound
sat3 = sat1 & sat2; // multiply 2 matrix to get the color range

// apply thresshold for Val channel
threshold (val,val1,SatthresL,255, CV_THRESH_BINARY); // get lower bound
threshold (val, val2,SatthresH,255, CV_THRESH_BINARY_INV); // get upper bound
val3 = val1 & val2; // multiply 2 matrix to get the color range
// combine sat and hue filter together
HnS = sat3 & hue3;
// erode and dialation to reduce noise
erode(HnS,erd,cross,Point(-1,-1),erosionCount); // do erode
dilate(HnS,dia,cross,Point(-1,-1),erosionCount);// do dialate
// combine sat, val and hue filter together
HSV = sat3 & hue3 & val3;

// erode and dialation to reduce noise
erode(HSV,erd,cross,Point(-1,-1),erosionCount); // do erode
dilate(HSV,dia,cross,Point(-1,-1),erosionCount); // do dialate

Mat threshold_output;
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;

/// Detect edges using Threshold
threshold( camImage, threshold_output, thresh, 255, THRESH_BINARY );

/// Find contours
findContours( threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );

/// Find the convex hull object for each contour
vector<vector<Point> > hull(contours.size());
for( int i = 0; i < contours.size(); i++ )
  {  convexHull( Mat(contours[i]), hull[i], false ); }

/// Draw contours + hull results
Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );
for( int i = 0; i< contours.size(); i++ )
  {
	Scalar color = Scalar( 255, 0, 0);
	drawContours( drawing, contours, i, color, 1, 8, vector<Vec4i>(), 0, Point() );
	drawContours( drawing, hull, i, color, 1, 8, vector<Vec4i>(), 0, Point() );
  }

// display image over and over
imshow("Webcam Orignal", camImage);
imshow("Hue color",hue3);
imshow("Sat color",sat3);
imshow("Sat and Hue",HnS);
imshow("HSV",HSV);
imshow( "Hull demo", drawing );
// Pause for highgui to process image painting
cvWaitKey(5);
}
//------CLEAN UP------- 
cvDestroyAllWindows();
}