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task1.h
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task1.h
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#pragma once
#include <opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include<opencv2/imgproc.hpp>
#include<opencv2/imgcodecs.hpp>
#include <iostream>
#include <stdio.h>
#include"task3.h"
using namespace cv;
using namespace std;
//
//class Equivalent
//{
// int L1;
// int L2;
//public:
// Equivalent()
// {
// L1 = 0;
// L2 = 0;
// }
//
// Equivalent(int label1, int label2)
// {
// L1 = label1;
// L2 = label2;
// }
//
// int getLabel1()
// {
// return L1;
// }
//
// int getLabel2()
// {
// return L2;
// }
//
//};
int smaller(int a, int b)
{
if (a <= b)
return a;
else
return b;
}
int larger(int a, int b)
{
if (a >= b)
return a;
else
return b;
}
int** sort2D(int** arr, int n, int m)
{
cout << "Im inside sorting" << endl;
int i, j, temp;
for (i = 0; i < n * m - 1; ++i) {
for (j = 0; j < n * m - 1 - i; ++j) {
// row = j/m
// column = j%m
if (arr[j / m][j % m] > arr[(j + 1) / m][(j + 1) % m]) {
temp = arr[(j + 1) / m][(j + 1) % m];
arr[(j + 1) / m][(j + 1) % m] = arr[j / m][j % m];
arr[j / m][j % m] = temp;
}
}
}
return arr;
}
int frequency(int** arr, int rows, int cols)
{
int maxCount = 1;
int count = 1;
int freq = 0;
for (int i = 0; i < rows; i++)
{
for (int j = 1; j < cols; j++)
{
if (arr[i][j] == arr[i][j - 1] && arr[i][j] != 0)
count++;
else
count = 1;
if (count > maxCount) {
maxCount = count;
freq = arr[i][j - 1];
}
}
}
return freq;
}
//int frequency(int** Label, int rows, int cols) {
// int frequency = 0, label = 0;
//
// int** freq = new int* [rows];
// int maj_lesion = 0, maj_lesion_freq = 0;
// int* lesion = new int[cols];
// for (int i = 0; i < rows; i++) {
// freq[i] = new int[cols];
// }
// for (int i = 0; i < rows-1; i++) {
// for (int j = 0; j < cols-1; j++) {
// frequency = 1;
//
// label = Label[i][j];
//
// if (freq[i][j] != 0) {
//
// if (Label[i][j] != 0) {
// for (int x = 0; x < rows; x++) {
// for (int y = 0; y < cols; y++) {
//
//
// if ((i == x) && (j == y)) {
// continue;
// }
// if (Label[i][j] == Label[x][y]) {
// freq[x][y] = 0;
// frequency++;
// }
//
// }
//
// }
// lesion[label] = frequency;
// }
// }
// }
// }
//
// for (int i = 0; i < cols; i++) {
// if (lesion[i] > maj_lesion_freq) {
// maj_lesion_freq = lesion[i];
// maj_lesion = i;
// }
// }
//
// return maj_lesion;
//
//}
void ConnectedComponentsLabelling(Mat img)
{
cout << "Im in func ConnComp" << endl;
//taking an image matrix//
int cols = img.cols;
int rows = img.rows;
int** Image = new int* [rows];
for (int i = 0; i < rows; i++)
{
Image[i] = new int[cols];
}
//int x;
for (int i = 0; i < rows; i++)
{
for (int j = 0; j < cols; j++)
{
Image[i][j] = (int)img.at<uchar>(i, j);
}
}
int* equivalency = new int[cols];
for (int i = 0; i < cols; i++)
{
equivalency[i] = 0;
}
int L = 0; //labelIndex
int** LabelArray = new int* [rows]; //array for storing labels
for (int i = 0; i < rows; i++)
{
LabelArray[i] = new int[cols];
}
for (int i = 0; i < rows; i++) //label for first pixel i.e. [0][0] index
{
for (int j = 0; j < cols; j++)
{
LabelArray[i][j] = 0;
}
}
for (int i = 0; i < rows; i++) //label for first pixel i.e. [0][0] index
{
for (int j = 0; j < cols; j++)
{
if (Image[0][0] > 0)
{
L++;
LabelArray[0][0] = L;
}
}
}
// //column-wise if labels are same then assign the previous label
// for (int i = 1; i < cols - 1; i++) //0th row and any column excluding 0th column
// {
// for (int j = 0; j < rows; j++) //label pixels in row j = 0
// {
// if (Image[i][0] > 0)
// {
// if (Image[i][0] == Image[i - 1][0])
// {
// LabelArray[i][0] = LabelArray[i - 1][0];
// }
// if (Image[i][0] != Image[i - 1][0])
// {
// L++;
// LabelArray[i][0] = L;
// }
// }
// }
// }
//}
//
//row-wise if labels are same then assign the previous label
//for (int i = 0; i < cols; i++) //label pixels in col i=0
//{
// for (int j = 1; j < rows - 1; j++) //0th column and any row excluding 0th row
// {
// if (Image[0][j] > 0 && Image[0][j] == Image[0][j - 1])
// {
// LabelArray[0][j] = LabelArray[0][j - 1];
// }
// if (Image[0][j] > 0 && Image[0][j] != Image[0][j - 1])
// {
// L++;
// LabelArray[0][j] = L;
// }
// }
//}
cout << "Im now assigning neighbours" << endl;
int sml, small, smal, lg, lag, larg;
for (int i = 1; i < rows; i++) //label pixels in col i=0
{
for (int j = 1; j < cols; j++) //0th column and any row excluding 0th row
{
//if no neighbours have 1
if (Image[i][j] == 255)
if (Image[i - 1][j] == 0)
if (Image[i][j - 1] == 0)
if (Image[i - 1][j - 1] == 0)
if (Image[i - 1][j + 1] == 0)
{
L++;
LabelArray[i][j] = L;
}
//if only one of the 4 neighbours have one
/*if (Image[i][j] == 255)
if (Image[i - 1][j] == 255)
{
LabelArray[i][j] = LabelArray[i - 1][j];
}
else if (Image[i - 1][j - 1] == 255)
{
LabelArray[i][j] = LabelArray[i - 1][j - 1];
}
else if (Image[i-1][j + 1] == 255)
{
LabelArray[i][j] = LabelArray[i-1][j + 1];
}
else if (Image[i][j - 1] == 255) {
LabelArray[i][j] = LabelArray[i][j - 1];
}
else
L++;
LabelArray[i][j] = L;
*/
if (Image[i][j] == 255)
if (Image[i - 1][j] == 255)
if (Image[i - 1][j - 1] != 255)
if (Image[i - 1][j + 1] != 255)
if (Image[i][j - 1] != 255)
{
LabelArray[i][j] = LabelArray[i - 1][j];
}
if (Image[i][j] == 255)
if (Image[i - 1][j] != 255)
if (Image[i - 1][j - 1] == 255)
if (Image[i - 1][j + 1] != 255)
if (Image[i][j - 1] != 255)
{
LabelArray[i][j] = LabelArray[i - 1][j - 1];
}
if (Image[i][j] == 255)
if (Image[i - 1][j] != 255)
if (Image[i - 1][j - 1] != 255)
if (Image[i - 1][j + 1] == 255)
if (Image[i][j - 1] != 255)
{
LabelArray[i][j] = LabelArray[i - 1][j + 1];
}
if (Image[i][j] == 255)
if (Image[i - 1][j] != 255)
if (Image[i - 1][j - 1] != 255)
if (Image[i - 1][j + 1] != 255)
if (Image[i][j - 1] == 255)
{
LabelArray[i][j] = LabelArray[i][j - 1];
}
//more than one neighbour have 1, cases
//case 1 : if all 4 neighbours have 1
if (Image[i][j] == 255)
if (Image[i - 1][j] == 255)
if (Image[i - 1][j - 1] == 255)
if (Image[i - 1][j + 1] == 255)
if (Image[i][j - 1] == 255)
{
sml = smaller(LabelArray[i - 1][j], LabelArray[i - 1][j - 1]);
lg = larger(LabelArray[i - 1][j], LabelArray[i - 1][j - 1]);
//equivalency[lg] = sml;
smal = smaller(sml, LabelArray[i - 1][j + 1]);
lag = larger(sml, LabelArray[i - 1][j + 1]);
//equivalency[lg] = smal;
small = smaller(smal, LabelArray[i][j - 1]);
larg = larger(smal, LabelArray[i][j - 1]);
equivalency[larg] = small;
equivalency[lg] = small;
equivalency[lag] = small;
LabelArray[i][j] = small;
}
//case 2: if 3 neighbours have 1
if (Image[i][j] == 255)
if (Image[i - 1][j] == 255)
if (Image[i - 1][j - 1] == 255)
if (Image[i - 1][j + 1] == 255)
if (Image[i][j - 1] != 255)
{
sml = smaller(LabelArray[i - 1][j], LabelArray[i - 1][j - 1]);
lg = larger(LabelArray[i - 1][j], LabelArray[i - 1][j - 1]);
//equivalency[lg] = sml;
smal = smaller(sml, LabelArray[i - 1][j + 1]);
lag = larger(sml, LabelArray[i - 1][j + 1]);
equivalency[lg] = smal;
equivalency[lag] = smal;
LabelArray[i][j] = smal;
}
if (Image[i][j] == 255)
if (Image[i - 1][j] == 255)
if (Image[i - 1][j - 1] == 255)
if (Image[i - 1][j + 1] != 255)
if (Image[i][j - 1] == 255)
{
sml = smaller(LabelArray[i - 1][j], LabelArray[i - 1][j - 1]);
lg = larger(LabelArray[i - 1][j], LabelArray[i - 1][j - 1]);
//equivalency[lg] = sml;
smal = smaller(sml, LabelArray[i][j - 1]);
lag = larger(sml, LabelArray[i][j - 1]);
equivalency[lg] = smal;
equivalency[lag] = smal;
LabelArray[i][j] = smal;
}
if (Image[i][j] == 255)
if (Image[i - 1][j] == 255)
if (Image[i - 1][j - 1] != 255)
if (Image[i - 1][j + 1] == 255)
if (Image[i][j - 1] == 255)
{
sml = smaller(LabelArray[i - 1][j], LabelArray[i][j - 1]);
lg = larger(LabelArray[i - 1][j], LabelArray[i][j - 1]);
//equivalency[lg] = sml;
smal = smaller(sml, LabelArray[i - 1][j + 1]);
lag = larger(sml, LabelArray[i - 1][j + 1]);
equivalency[lg] = smal;
equivalency[lag] = smal;
LabelArray[i][j] = smal;
}
if (Image[i][j] == 255)
if (Image[i - 1][j] != 255)
if (Image[i - 1][j - 1] == 255)
if (Image[i - 1][j + 1] == 255)
if (Image[i][j - 1] == 255)
{
sml = smaller(LabelArray[i - 1][j - 1], LabelArray[i][j - 1]);
lg = larger(LabelArray[i - 1][j - 1], LabelArray[i][j - 1]);
//equivalency[lg] = sml;
smal = smaller(sml, LabelArray[i - 1][j + 1]);
lag = larger(sml, LabelArray[i - 1][j + 1]);
equivalency[lg] = smal;
equivalency[lag] = smal;
LabelArray[i][j] = smal;
}
//case 3: if 2 neighbours have 1
if (Image[i][j] == 255)
if (Image[i - 1][j] == 255)
if (Image[i - 1][j - 1] == 255)
if (Image[i - 1][j + 1] != 255)
if (Image[i][j - 1] != 255)
{
int sml = smaller(LabelArray[i - 1][j], LabelArray[i - 1][j - 1]);
int lg = larger(LabelArray[i - 1][j], LabelArray[i - 1][j - 1]);
equivalency[lg] = sml;
LabelArray[i][j] = sml;
}
if (Image[i][j] == 255)
if (Image[i - 1][j] != 255)
if (Image[i - 1][j - 1] != 255)
if (Image[i - 1][j + 1] == 255)
if (Image[i][j - 1] == 255)
{
int sml = smaller(LabelArray[i][j - 1], LabelArray[i - 1][j + 1]);
int lg = larger(LabelArray[i][j - 1], LabelArray[i - 1][j + 1]);
equivalency[lg] = sml;
LabelArray[i][j] = sml;
}
if (Image[i][j] == 255)
if (Image[i - 1][j] != 255)
if (Image[i - 1][j - 1] == 255)
if (Image[i - 1][j + 1] != 255)
if (Image[i][j - 1] == 255)
{
int sml = smaller(LabelArray[i][j - 1], LabelArray[i - 1][j - 1]);
int lg = larger(LabelArray[i][j - 1], LabelArray[i - 1][j - 1]);
equivalency[lg] = sml;
LabelArray[i][j] = sml;
}
if (Image[i][j] == 255)
if (Image[i - 1][j] == 255)
if (Image[i - 1][j - 1] != 255)
if (Image[i - 1][j + 1] != 255)
if (Image[i][j - 1] == 255)
{
int sml = smaller(LabelArray[i][j - 1], LabelArray[i - 1][j]);
int lg = larger(LabelArray[i][j - 1], LabelArray[i - 1][j]);
equivalency[lg] = sml;
LabelArray[i][j] = sml;
}
if (Image[i][j] == 255)
if (Image[i - 1][j] != 255)
if (Image[i - 1][j - 1] == 255)
if (Image[i - 1][j + 1] == 255)
if (Image[i][j - 1] != 255)
{
int sml = smaller(LabelArray[i - 1][j - 1], LabelArray[i - 1][j + 1]);
int lg = larger(LabelArray[i - 1][j - 1], LabelArray[i - 1][j + 1]);
equivalency[lg] = sml;
LabelArray[i][j] = sml;
}
if (Image[i][j] == 255)
if (Image[i - 1][j] == 255)
if (Image[i - 1][j - 1] != 255)
if (Image[i - 1][j + 1] == 255)
if (Image[i][j - 1] != 255)
{
int sml = smaller(LabelArray[i - 1][j], LabelArray[i - 1][j + 1]);
int lg = larger(LabelArray[i - 1][j], LabelArray[i - 1][j + 1]);
equivalency[lg] = sml;
LabelArray[i][j] = sml;
}
}
}
cout << "Ive completed 1st pass" << endl;
//2nd pass
for (int i = 0; i < rows; i++)
{
for (int j = 0; j < cols; j++)
{
if (LabelArray[i][j] == i && equivalency[i] != 0)
{
//cout << "Equivalency b/w " << i << " and " << equivalency[i] << " has been resolved to label: " << equivalency[i] << endl;
cout << "Label val: " << LabelArray[i][j];
LabelArray[i][j] = equivalency[i];
cout << " First label was " << i << " now its: " << equivalency[i];
}
}
}
cout << "Ive completed 2nd pass" << endl;
//after assigning labels we consider the most number of labels as lesion
int** sorted = sort2D(LabelArray, rows, cols);
cout << "Ive sorted the array" << endl;
int freqLabel = frequency(sorted, rows, cols);
cout << "freq label is : " << freqLabel << endl;
for (int i = 0; i < rows; i++)
{
for (int j = 0; j < cols; j++)
{
if (LabelArray[i][j] == freqLabel)
{
Image[i][j] = 255;
}
else
Image[i][j] = 0;
}
}
cout << "Im going to display" << endl;
for (int i = 0; i < rows; i++)
{
for (int j = 0; j < cols; j++)
{
img.at<uchar>(i, j) = Image[i][j];
//x=(int)img.at<uchar>(i, j);
//if (x == 255)
//{
// cout << "Value of pixel" << "(" << i << "," << j << ")" << "=" << x << endl;
//}//showing the values in console window//
}
}
Mat gt;
string image_path = samples::findFile("Ground Truths/IMD063_lesion.bmp");
gt = imread(image_path, IMREAD_GRAYSCALE);
if (gt.empty())
{
cout << "Could not read the image: " << image_path << endl;
}
cout << "Im done" << endl;
diceCof(gt, img);
imshow("Display window", img);
int k = waitKey(0); // Wait for a keystroke in the window
if (k == 's')
{
imwrite("Segmented Outputs/mIMD063.bmp", img);
}
}
//
//int main()
//{
// Mat img;
// string image_path = samples::findFile("Segmented Outputs/mIMD063.bmp");
// img = imread(image_path, IMREAD_GRAYSCALE);
// if (img.empty())
// {
// cout << "Could not read the image: " << image_path << endl;
// return 1;
// }
//
//
//
// ConnectedComponentsLabelling(img);
//
//
// //int k = waitKey(0); // Wait for a keystroke in the window
// //if (k == 's')
// //{
// // imwrite("Segmented Outputs/mIMD002.bmp", img);
// //}
// return 0;
//}