How to determine the area of a polygon in an Image

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If I am having a convex polygon vertices, then my area calculation in image is not coming accurate by the standard formula.

(For simiplicity) if I am having 3x3 square, and the vertices are (1,1) (1,3) (3,3) (3,1)

enter image description here

by polygon area calculation method depicted here

enter image description here

and dividing the summation by 2 we get the Area.

So for the 3 x 3 data above, we'll get area as 4 instead of 9.

enter image description here

This is happening because vertices are not points but a pixel.

this is the corresponding code. The coordinates are cyclic.

int X[] = { 1, 1, 3, 3, 1};
int Y[] = { 1, 3, 3, 1, 1};
double Sum1 = 0;
double Sum2 = 0;
int numElements = 5;

    for (int k = 0; k < numElements-1; k++)
    {
        Sum1 += X[k] * Y[k + 1];
        Sum2 += Y[k] * X[k + 1];
    }

    double area = std::abs((double)(Sum1 - Sum2))/2;

For square, we can do +1 to width and height and get the area correct. But what about the irregular polygons in the image? I hope the question makes sense.

2

There are 2 answers

0
kid.abr On BEST ANSWER

The area can be calculated in following steps:

1) fetching the pixels between the vertices

2) sorting the pixels by x coordinates (or y coordinates)

3) taking the difference between min and max y coordinates (or x) for a particular x (or y) value and adding one to the difference

4) summing up the total difference

NOTE: the area might vary (if there are slanted edges in the polygon) depending on the line drawing method chosen

int compare(const void * a, const void * b)
{
  return (((Point*)a)->x() - ((Point*)b)->x());
}


double CalculateConvexHullArea(vector<int> ConvexHullX, vector<int> ConvexHullY)
{
    float Sum1 = 0;
    float Sum2 = 0;
    std::vector<Point> FillPoints;


        for (int k = 0; k < ConvexHullX.size() - 1; k++)
        {
            drawLine(ConvexHullX[k], ConvexHullX[k+1], ConvexHullY[k], ConvexHullY[k+1], FillPoints);
        }

        //sorting coordinates
        qsort(FillPoints.data(), FillPoints.size(), sizeof(Point), compare);

        double area = 0;
        int startY = FillPoints[0].y(), endY = FillPoints[0].y();
        int currX = FillPoints[0].x();


        // traversing x and summing up diff of min and max Y
        for (int cnt = 0; cnt < FillPoints.size(); cnt++)
        {
            if (FillPoints[cnt].x() == currX)
            {
                startY = startY > FillPoints[cnt].y() ? FillPoints[cnt].y() : startY;
                endY = endY < FillPoints[cnt].y() ? FillPoints[cnt].y() : endY;
            }
            else
            {
                int diffY = endY - startY + 1;
                area += diffY;
                currX = FillPoints[cnt].x();
                startY = endY = FillPoints[cnt].y();
            }
        }

        return area + endY - startY + 1;
}
1
MBo On

If you don't want to work with pixel corners as vertices, consider next method (works for simple figures - all convex ones, some concave ones):

enter image description here

Add additional fake pixel at right side of every right-border pixel, at bottom side of every bottom-border pixel, at right-bottom of right-bottom corner pixel. Here gray pixels are initial, light blues ones - fake.