Comments and Ratings

tnx

No help, no H1-line, no check of inputs, parameters are defined by INPUT, no standard RGB images ([X x Y x 3] arrays). The algorithm sums a specific number of replies from IMNOISE('salt & pepper') with an arbitrarily increasing parameter => this does *not* but add noise!
This is neither a good homework nor good to be published on the FEX.

hi
thanks for this code.
I want to implement code for localhist.m using OpenCV library in C or C++.
Can anyone guide me for same.

program to read an image in horizantal and zig zag faction

hello. it is a good work. But ı wish you explain what they mean. I use probmodel for my project. Can you tell us obout their code and hoh did you think?

what is x?

File exchange could do without this kind of submission. No explanation at all.

Hi, I am new to image processing and i need to filter some grayscale images with low and high frequency band filters.
Your code works fine but I still don't quite understand the parameter P. If I had to filter the image so that only frequencies < 6 cycles per degree where displayed on the image when viewed form 80 cm distance, then don't know how to calculate the accurate P value.
Could you give me a hint on this? I would really apreciate it

Thank you very much

a

I think, if you wnat to use this to a full color image, you might need some changes...

%Question No:5
%IDEAL LOW-PASS FILTER

function idealfilter(X,P)
f=imread(X);
[M,N,O]=size(f);
F=fft2(double(f));
u=0:(M-1);
v=0:(N-1);
idx=find(u>M/2);
u(idx)=u(idx)-M;
idy=find(v>N/2);
v(idy)=v(idy)-N;
[V,U]=meshgrid(v,u);
D=sqrt(U.^2+V.^2);
H=double(D<=P);
G=F;
for i = 1:O
    G(:,:,i) = H.*F(:,:,i);
end
g=uint8(real(ifft2(double(G))));
imshow(f),figure,imshow(g);
end

not able to understand

??

this is a load of crap!

can u corp a object in a image, for example asigle flower from bunch of flowers and save that flowr as separate image?

awful

good

Input argument "x" is undefined.

This code has no comments, but it works just spledidly -- it was designed for 2-D Images of a generic length. As a better illustration, try this code for an image with equal height and width.

% Ideal low pass filter
img = X/max(max(X));
P=[10 20 50 100];
% generate a mask to apply over the
% image's fourier transform.
% for square images, we can simplify the
% code to make a mask:
[L,W]=size(img);
for t=1:length(P)
    for i=1:L
        for j=1:L
            dFromCenter = sqrt((i-L/2)^2 + (j-L/2)^2);
            H(i,j)=double(dFromCenter<=P(t));
        end
    end
    % apply the mask over the transform
    F=fftshift(fft2(img)); % fft the image,
                    % bringing the 0
                    % frequencies to
                    % center
    G=fftshift(H.*F); % mask out outer
                    % frequencies and shift
                    % back to image state
    g=real(ifft2(double(G)));
    figure(5);
    subplot(2,2,t);
    imshow(g);
    title(sprintf('ILPF P=%1.f',P(t)));
end