I am dealing with shadow removal. First I have to calculate gradient from the image in both directions. g(x,y) = -2*f(x,y) + f(x+1,y) + f(x,y+1). Afterwards, I do some calculation on the gradient and modify it a bit.
The problem comes when I have to calculate Laplacian (second derivative) from the modified gradient.
I know that the Laplacian filter has a matrix: [0,1,0: 1,-4,1; 0,1,0]. But the questions is how to calculate the Laplacian from the gradient, if the cells are already modified?
Calculation of gradient:
[Gx,Gy] = imgradientxy(img_G,'intermediate');
greenGradient = Gx + Gy;
Thanks!
When calculating gradient using imgradientxy(I,'intermediate')
:
GX(j, i) = I(j, i+1) - I(j, i)
GY(j, i) = I(j+1, i) - I(j, i)
And the Laplacian:
L(j, i) = I(j, i-1) + I(j, i+1) + I(j-1, i) + I(j+1, i) - 4*I(j, i)
Now if we calculate gradient of GX
and GY
:
GGX(j, i) = GX(j, i) - GX(j, i-1)
= I(j, i+1) - I(j, i) - I(j, i) + I(j, i-1)
= I(j, i-1) + I(j, i+1) - 2*I(j, i)
GGY(j, i) = I(j-1, i) + I(j+1, i) - 2*I(j, i)
So
L(j, i) = GGX(j, i) + GGY(j, i)
Note that there is on pixel offset between methods used to find gradient of I
and gradient of GX
and GY
.
I = im2double(imread('coins.png'));
[GX, GY] = imgradientxy(I,'intermediate');
L = imfilter(I, [0 1 0; 1 -4 1; 0 1 0], 'replicate');
GGX = imfilter(GX, [0 0 0; -1 1 0; 0 0 0], 'replicate');
GGY = imfilter(GY, [0 -1 0; 0 1 0; 0 0 0], 'replicate');
L2 = GGX+GGY;
E = (L2-L).^2;