void TestCircle::testPerimeter()
{
this->testInit(__func__);
Point origin = Point(100, 100);
double radius = 100;
Circle circle = Circle(origin, radius);
if (circle.getPerimeter() != (2 * M_PI * circle.getRadius())) {
this->testFailed();
}
this->testInterpret();
}
int main()
{
Circle dayra;
string CircleColor = "blue" ;
dayra.setColor(CircleColor);
cout<< dayra.getColor()<<" "<< dayra.isfilled()<<" before set "<< "\n";
dayra.setfilled() ;
cout<< dayra.isfilled()<<"\n" ;
dayra.setRadius(5);
Rectangle mostatel;
mostatel.setWidth(5);
mostatel.setLength(5);
mostatel.setColor(CircleColor);
cout << dayra.getArea()<< " area "<<mostatel.getArea() << "\n" ;
cout << dayra.getPerimeter() << " prmtr " << mostatel.getPerimeter() << "\n" ;
dayra.toString();
cout << "\n" ;
mostatel.toString() ;
return 0;
}
void printPerimeter(Circle c) {
cout << "The perimeter is: " << c.getPerimeter();
}
int main( int argc, char* argv[] )
{
// get input/output image file names from command line
if (argc != 3)
{
std::cout << "Usage instructions: " << std::endl;
std::cout << "> hw5.exe inputFileName.bmp coloredOutputFileName.bmp" << std::endl;
return -1;
}
std::string inputFileName(argv[1]);
std::string coloredOutputFileName(argv[2]);
// read image from input file
std::cout << "Reading input image: " << inputFileName << std::endl;
Image myImage;
bool success = myImage.readFromBMPFile(inputFileName);
if (! success)
{
std::cout << "Error reading input image." << std::endl;
return -1;
}
//The rest of your code goes here...
int seedpixel = 0; //stores the value returned from markConnectedComponent
int numCircles = 0; //stores number of circles
int numSquares = 0; //stores number of squares
int rows; //stores the image's row number
int cols; //stores the image's column number
int ccLabel = 0; //Connected Component Label
//Pixel markers
pixelLocation foundLoc;
foundLoc.r = 0;
foundLoc.c = 0;
Circle circleObj; //Circle class object
cSquare squareObj; //Square class object
std::vector<Circle> cVect1; //Circle vector
std::vector<cSquare> sqVect1; //Square vector
int cVect2[100];
int sqVect2[100];
//Get number of rows and cols in Image
rows = myImage.getNumRows();
cols = myImage.getNumCols();
//sorts through the image to find the circles and squares
while(findPixelLocationWithGivenValue(myImage, 255, foundLoc.r, foundLoc.c) && ccLabel<100)
{
ccLabel++;
seedpixel = markConnectedComponent(myImage, foundLoc.r, foundLoc.c, 100);
if( seedpixel >= CIRCLE)
{
circleObj.setRadiusFromArea(seedpixel);
cVect2[numCircles] = circleObj.getPerimeter();
cVect1.push_back(circleObj);
myImage.setAllPixelsWithOldValToNewVal(100, LABELCIRCLE);
numCircles++;
}
else{
squareObj.setSideLengthFromArea(seedpixel);
sqVect2[numSquares] = squareObj.getPerimeter();
sqVect1.push_back(squareObj);
myImage.setAllPixelsWithOldValToNewVal(100, LABELSQUARE);
numSquares++;
}
}
//Writes the resulting labeled-shape image to a file, assigning each label a random color
myImage.switchToRandomColorMapping();
myImage.writeToBMPFile("My Mona Lisa");
//Output of the number of circles found and each circle's estimated Perimeter (Radius) pairs
std::cout << "Number of CIRCLES: " << numCircles << std::endl;
std::cout << "Circle Perimeters (Radius): " << std::endl;
for(int i = 0; i < numCircles ; i++)
{
std::cout << cVect2[i] << " " << cVect2[i]/(2*3.14159) << std::endl;
}
//Output of the number of squares found and each square's estimated Perimeter (Side Length) pairs
std::cout << "Number of SQUARES: " << numSquares << std::endl;
std::cout << "Square Perimters (Side Length):" << std::endl;
for(int j = 0; j < numSquares ; j++)
{
std::cout << sqVect2[j] << " " << sqVect2[j]/4 << std::endl;
}
return 0;
}
