Matlab to achieve the cutting of the image of the computer vision

In some programs because the image is too large, we often need to cut the image into a few relatively small patterns after the relevant processing.

Img=imread (' sssd.png ');
Imgsize=size (IMG)
subimg_width=600;
subimg_height=1000;
Num_width_spilt=ceil (imgsize (1)/subimg_width);
Num_height_spilt=ceil (Imgsize (2)/subimg_height);
num=num_width_spilt*num_height_spilt;
For i=1:num_width_spilt for
   j=1:num_height_spilt
   if (i*subimg_width<=imgsize (1))
       Width=subimg_ width;
   else
       width=imgsize (1)-(i-1) *subimg_width;
   End
   if (J*subimg_height<=imgsize (2))
       height=subimg_height;
   Else
       height=imgsize (2)-(j-1) *subimg_height;
   End
    Subimg=zeros (width,height);

    For Ii=1:width
    to Jj=1:height
    for Kk=1:3 subimg (II,JJ,KK) =img ((i-1) *subimg_width+ii
   , (j-1) *subimg_ HEIGHT+JJ,KK);
    End
    -end
 
 
  subimg=uint8 (subimg);
    eval ([' Imwrite (subimg, ' subimg ' Num2str (i-1) *num_width_spilt+j) '. bmp ', ' bmp ')
   ; End End

    

The following image is segmented to get four small graphs

Four small figures obtained:

The first one:

Second One

The third one:

Picture Four