ELEC3225
Solution
OBE
Q1. (a)
Adjacency to define boundaries of objects and components of regions in an image.
Mixed adjacency: two pixels p and q with values from V (where V be the set of gray level
values used to define adjacency) are m-connected if
o
ELEC3225
Q7.
(a)
(b)
Name: _
OBE-7
Within the context of mathematical morphology, explain the following:
(i)
dilation; (5%)
(ii)
erosion; (5%)
(iii) effect of changing the size of the structure element. (4%)
For the image depicted in Figure Q5-1,
(i)
thin
ELEC3225
Q9.
Name: _
OBE-9
(a)
Explain the basic principle of segmenting regions directly from a digital image.
(10%)
(b)
Given the image as depicted in Figure Q9-1 where the numbers indicate intensity
values, use the seed-based region growing technique t
ELEC3225
Q8.
Name: _
OBE-8
(a)
Describe in general how global thresholding is used for image segmentation, and
explain how illumination affects the choice of threshold. (10%)
(b)
Given the image as shown in Figure Q6-1 where the numbers indicate intensity
ELEC3225
Name: _
OBE-3a
Q3(a) Consider the digital image given in Figure Q3-1, where the numbers represent gray levels.
Use the filter as shown in Figure Q3-2 to operate on the image. Sketch your resulting image
and comment on the result. (10%)
0
0
0
0
0
ELEC3225
Q6. (a)
Name: _
OBE-6
Explain what coding redundancy, interpixel redundancy and psychovisual redundancy are and how data
compression is achieved by reducing these redundancies. (10%)
(b) Given an 8-level digital image with the gray-level distribu
ELEC3225
Q5.
(a)
Name: _
OBE-5
Show that subtracting the Laplacian from an image is proportional to unsharp
masking, a process for sharpening images. (6%)
(Hint: Use 2 f [ f ( x 1, y ) f ( x 1, y ) f ( x, y 1) f ( x, y 1)] 4 f ( x, y ) )
(b)
High-boost fi
ELEC3225
Name: _
OBE-3b
Q3(b) Consider the binary image given in Figure Q3b-1, where 1 represents bright and 0
represents dark. Approximate the gradient of this image using the Sobel operators. Sketch
the gradient image and comment on the result. (10%)
0
ELEC3225
Q2.
(a)
(b)
Name: _
OBE
Describe the principle of histogramming techniques, and its usefulness in representing images. (11%)
Suppose a digital image having the following histogram as depicted in Figure Q1-1
(i)
determine the equalized histogram;
ELEC3225/ELEC4245 Digital Image Processing
Assignment 2
Submission deadline: November 18, 2013
Given the image Crowd_2589.jpg as shown below (can also be down loaded from the course website).
Crowd_2589.jpg
1. Develop a method/algorithm that can accuratel
ELEC3225/ELEC4245 Digital Image Processing
Assignment 1
Submission deadline: October 28, 2013
Given a JPG image NighPhoto.jpg as shown below (can also be down loaded from the course
website), do the following:
NightPhoto.jpg
1. Design an algorithm (may co
ELEC3225/ELEC4245
Digital Image Processing
1: Introduction
Dr. Nelson Yung
nyung@eee.hku.hk
Rm 503, Chow Yei Ching Building
1
Learning Outcome and Topics to be covered
To acquire a brief concept of digital image processing and
appreciate its applications