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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?
Describe the term (i) Automation (ii) Automated lines 04 List out the reasons for automation and discuss in detail the process of work part transport.
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The Series Resistance rule
Q. Considering the circuit shown in Figure, sketch v(t) and the energy stored in the capacitor as a function of time.
Find the minimum rate of sampling that must be used to convert the message into digital form: (a) If an audio message has a spectral extent of 3 kHz. (b) If a television sign
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Module 1 Discussion: Application of operational Amplifier
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