rajithv

module SymEngine
  class Integer
    def to_int
        self.to_s.to_i
    end
  end
end

rajithv

int findMinDist(vector<int> vec1, vector<int> vec2){
	float dif = 1000000000;
	int pos = 0;

	for(int i=0; i<vec1.size()-6; i++){
		float temp2 = 0;
		for(int j=5; i+j<vec1.size()-5; j++){
			temp2 += (vec1[i+j] - vec2[j])*(vec1[i+j] - vec2[j]);
		}
		

rajithv

vector<int>  calculateIntegrals(Mat &gray, int _case){

	// Calculating integral projections
	vector<int> integral;

	// _case 1 : Horizontal Differentiation : Vertical Integration
	if(_case == 1){
		integral.clear();
		for (int i = 0; i < gray.cols; i++) {
			int temp_sum = 0;

rajithv

Mat applyFilter(Mat &gray_1, Mat &kernal){
	
  	Point anchor = Point (-1,1);
  	double delta = 0;
  	int ddepth = -1;
  
  	Mat temp; // temporarily store the image
  	Mat gray; // final grayscale image after differentiation
  
  	// Apply the differential filter