Error using .* Matrix dimensions must agree

clc
close all
clear all % convert the image to grey 
 % frequency scaling
I = imread('c.jpg');
I1=rgb2gray(I);
ed=edge(I1,'canny',0.4);
[gx gy]=gradient(double(ed),0.5);
figure;
imshow(I);
gm=sqrt(gx.^2+gy.^2);
gdp=atan2(gy,gx);
%figure;
%imshow(gm);
figure; imshow(gdp);

A = fft2(double(I)); % compute FFT of the grey image
A1=fftshift(A); % frequency scaling

% Gaussian Filter Response Calculation

[M N]=size(A); % image size
R=10; % filter size parameter 
X=0:N-1;
Y=0:M-1;
[X Y]=meshgrid(X,Y);
Cx=0.5*N;
Cy=0.5*M;
Lo=exp(-((X-Cx).^2+(Y-Cy).^2)./(2*R).^2);
Hi=1-Lo; % High pass filter=1-low pass filter

% Filtered image=ifft(filter response*fft(original image))

J=A1.*Lo;
J1=ifftshift(J);
B1=ifft2(J1);

%----visualizing the results----------------------------------------------

figure(3)
imshow(abs(B1),[12 290]), colormap gray
title('low pass filtered image','fontsize',14)

i am doing processing on image i found the gradient and then appy FFT2 on image and trying to appy low pass filter on image i have this error can anyone help me

[babar ali]

Error using .* Matrix dimensions must agree.

Error in v1 (line 37) J=A1.*Lo; this is error

Answer 1

[Walter Roberson]

You have

A = fft2(double(I)); % compute FFT of the grey image

However, I is not your grayscale image: I1 is your grayscale image.