image derivatives using gaussian
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Hi, this is the function I have for calculating the image derivatives. Please help me understand this code as I am new to this field. If anyone could give me some links to understand this concept, I'll be greatful. some doubts that i have -
- Why are we using ndgrid here?
- What are the directions 'x', 'y', 'xx', ('xy', 'yx'), 'yy' here?
- And how and why does the formula for this gaussian change according to the directions?
- Why are we using imfilter at the end?
function D =calc_image_derivatives(I,sigma,direction)
[x,y]=ndgrid(floor(-3*sigma):ceil(3*sigma),floor(-3*sigma):ceil(3*sigma));
switch(direction)
case 'x'
DGauss=-(x./(2*pi*sigma^4)).*exp(-(x.^2+y.^2)/(2*sigma^2));
case 'y'
DGauss=-(y./(2*pi*sigma^4)).*exp(-(x.^2+y.^2)/(2*sigma^2));
case 'xx'
DGauss = 1/(2*pi*sigma^4) * (x.^2/sigma^2 - 1) .* exp(-(x.^2 + y.^2)/(2*sigma^2));
case {'xy','yx'}
DGauss = 1/(2*pi*sigma^6) * (x .* y) .* exp(-(x.^2 + y.^2)/(2*sigma^2));
case 'yy'
DGauss = 1/(2*pi*sigma^4) * (y.^2/sigma^2 - 1) .* exp(-(x.^2 + y.^2)/(2*sigma^2));
end
D = imfilter(I,DGauss,'conv','replicate');
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