MATLAB实现灰度图像形态学（膨胀、腐蚀）

1. 首先是灰度图腐蚀

function eroder = gray_erode(img, stel)
img = double(img);
[rows, cols] = size(img);
[irow, icol] = size(stel);
sortrow = ceil(irow/2);
sortcol = ceil(icol/2);
%扩展边界
tempimg1 = [fliplr(img(:, 2:sortcol)), img, fliplr(img(:, end-sortcol+1:end-1))];
tempimg = [flipud(tempimg1(2:sortrow, :)); tempimg1; flipud(tempimg1(end-sortrow+1:end-1, :))];
clear tempimg1;
%开始腐蚀
eroder = img;
for i = sortrow:rows+sortrow-1
   for j = sortcol:cols+sortcol-1
       win = tempimg(i-sortrow+1:i+sortrow-1, j-sortcol+1:j+sortcol-1);
       eroder(i-sortrow+1, j-sortcol+1) = min( min(win+stel) );
   end
end
eroder( eroder<0 ) = 0;
end

 

2. 灰度图膨胀

function dilater = gray_dilate(img, stel)
img = double(img);
[rows, cols] = size(img);
[irow, icol] = size(stel);
sortrow = ceil(irow/2);
sortcol = ceil(icol/2);
%扩展边界
tempimg1 = [fliplr(img(:, 2:sortcol)), img, fliplr(img(:, end-sortcol+1:end-1))];
tempimg = [flipud(tempimg1(2:sortrow, :)); tempimg1; flipud(tempimg1(end-sortrow+1:end-1, :))];
clear tempimg1;
%开始膨胀
dilater = img;
for i = sortrow:rows+sortrow-1
   for j = sortcol:cols+sortcol-1
       win = tempimg(i-sortrow+1:i+sortrow-1, j-sortcol+1:j+sortcol-1);
       dilater(i-sortrow+1, j-sortcol+1) = max( max(win+stel) );
   end
end
end