1. Set operations A=imread(‘utk.tif’); B=imread(‘gt.tif’); Ex#1: Perform
(a) Complement of A (b) Union of A and B
(c) Intersection of A and B
(d) Set difference A-B
Hint: help & for other logical operators

2. Dilation Ex. Ex. Dilate broken-txt.tif with b a=zeros(10,10);
a(4:7, 4:7)=ones(4,4);
b=[0 1 0; 1 1 1; 0 1 0];
c=imdilate(a,b);

3. Dilation (cont.) t=imread(‘text.tif’); sq=ones(3,3);
td=imdilate(t,sq);
Exercise#2:
Dilate twice
Dilate 3 times
Dilate once with diamond structuring
element
Dilate once with 5x5 square
0 1 0
1 1 1

4. Erode Command: imerode Ex#3: generate the following images
original image
erosion
dilation
small-squares.tif
13x13 square

5. Boundary detection rice=imread(‘rice.tif’); r=rice > 110; A-(A B)
Exercise#4: produce
Internal boundary:
A-(A B) -
External boundary:
(A B)-A +
Morphological gradient:
(A B)-(A B) + -

6. Opening and closing I=imread('shapes.tif'); b=ones(20, 20);
f=imopen(I, b);
g=imclose(I, b);

7. Opening and closing (cont.)
Ex#5: Generate the following images
open
close
noisy-fingerprint.tif

8. Hit-or-miss transformation; ; ; ; ; ; ]
Ex6: Generate the right
images

9. Region filling Sample code: function out=regfill(im, pos, kernel)
current=zeros(size(im));
last=zeros(size(im));
last(pos(1), pos(2))=1;
current=imdilate(last, kernel) & ~im;
while any(current(:) ~= last(:)),
last=current;
end;
out=current;
Exercise#7: Perform boundary detection to nicework.tif,
then apply region filling to it, modify regfill using getpts