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Filtering
(i) Write an m-file "mymedian.m" which will take an image and filter size and perform median filtering. Display input and output image. Use
help median
function imm=mymedian(imn,msize) [h w]=size(imn); kernel_size=? imm=imn; for i=msize+1:(h-msize) for j=msize+1:(w-msize) imm(i,j)=median(reshape(imn(i-msize:i+msize,j-msize:j+msize),1,kernel_size)); end end
What is the median value of an image?
Comment on the complexity (number of operations per pixel) of the algorithm.
(ii) Write an m-file "mygaussian.m" which will take an image and filter size and perform Gaussian filtering. Display input and output image.
function img=mygaussian(imn,sigma) g=gauss(sigma);
img=?(iii) Perform median and Gaussian filtering on face_g.png, face_m.png,statue_m.png. What kind of noise the median filer is useful for? What kind of noise the Gaussian filer is useful for?
(a) Consider the circuit of the noninverting amplifier in Figure, including an ideal op amp. Obtain an expression for the voltage gain of the overall circuit. (b) Let R i = 10
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This question is about linear filtering concepts using the built in filtering functions (it is not about edge detection methods). Load the MRI image of Q4 above and perform the
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