Reading and process many images (Median Filter)

I am currently writing a code for median filter, but I am only able to read 1 image by 1 image.

Is there a way to load in 30 images and process the data instantly?

I have a function to read single image for my median filter, I have another code to load 30 images to process.

But I have no idea how to combine two codes together.

The median filter code :

function f=asmf(n_Img)

[m n]=size(n_Img);

a=n_Img;

fl(1:m,1:n)=1;

mw=5;

for i=1:m

for j=1:n

cond=1;

xw=1;

while(cond==1)

co=0;

for k=-xw:xw

for l=-xw:xw

if (((i+k >0)&&(i+k<=m))&&(j+l >0))&&(j+l<=n)

co=co+1;

s(co)=a(i+k,j+l);

end

end

end

min1=min(s);

min2=max(s);

if (a(i,j)>min1)&&(a(i,j)<min2)

fl(i,j)=0;

cond=0;

else

if xw>=mw

cond=0;

else

xw=xw+1;

end

end

clear s;

end

end

end

wcm=16;

td=5;

for i=1:m

for j=1:n

if fl(i,j)==0

f(i,j)=a(i,j);

else

cond=1;

xw=1;

while (cond==1)

co=0;

for k=-xw:xw

for l=-xw:xw

if (((i+k >0)&(i+k<=m))&(j+l >0))&(j+l<=n)

if fl(i+k,j+l)==0

co=co+1;

s(co)=a(i+k,j+l);

end

end

end

end

if (co>0)

if (abs(a(i,j)-min(s))<td)&&(abs(a(i,j)-max(s))<td)

f(i,j)=a(i,j);

else

f(i,j)=median(s);

end

cond=0;

elseif (xw>=wcm)

f(i,j)=a(i,j);

cond=0;

else

xw=xw+1;

end

clear s;

end

end

end

end

The code for loading the images:

FileName = [

"img01.tiff";

"img02.tiff";

"img03.tiff";

"img04.tiff";

"img05.tiff";

"img06.tiff";

"img07.tiff";

"img08.tiff";

"img09.tiff";

"img10.tiff";

"img11.tiff";

"img12.tiff";

"img13.tiff";

"img14.tiff";

"img15.tiff";

"img16.tiff";

"img17.tiff";

"img18.tiff";

"img19.tiff";

"img20.tiff";

"img21.tiff";

"img22.tiff";

"img23.tiff";

"img24.tiff";

"img25.tiff";

"img26.tiff";

"img27.tiff";

"img28.tiff";

"img29.tiff";

"img30.tiff";

];

for imagefile = 1:1;

for noiselevel = 0:99;

imagefile

noiselevel

n_Img = imread(convertStringsToChars(FileName(imagefile)));

Thanks for the help!

Answer 1

[Srivardhan Gadila]

Based on the above information & as per my knowledge, one suggestion would be to make use of parfor instead of regular for loop. You can replace the for loop where you load the images and process them through your function with parfor loop, In that way based on the number of workers of parallel pool you can process those many images in parallel.