CMPEN/EE455: Digital Image Processing I Fall 2009 Written Homework #1 assigned: due: 24 August 2009 3PM Friday 11 September in EE East homework slot
reading assignment: Peruse G&W Ch. 1. Read Ch. 2.1, 2.2, 2.3.4, 2.4, 2.5, 2.6.1-2.6.6. Browse through Ch.
CMPEN/EE 455: Digital Image Processing I Fall 2009 Written Homework #2 assigned: due: 11 September 2009 Friday, 18 September 2009 in 121 EE East homework slot
reading assignment: G&W Ch. 2.5, 2.6.1-2.6.5 (up to top of page 87), 4.1-4.2. 1992 G&W Ch. 3.1 (
Caution in Reading and Writing Images: Use of color map
Show image WITHOUT considering color map: Figure 1
Read image AND color map
Write image with color map
Show image considering color map: Figure 2
Gray scale saturated at top
Looks brighter than Fig
CMPEN/EE 455
Digital Image Processing I
Lecture 9, Part 2
Fourier Transforms
Instructor: Bill Higgins
School of Electrical Engineering
and Computer Science
Penn State University
Gray-scale picture of |F(u,v)|
|F(u,v)|
log[1 + |F(u,v)|]
f(x,y)
|F(u,v)|
f(x
CMPEN/EE455 Lecture 7
Topics today:
1. Delta (impulse) function
2. Convolution and correlation —— basic linear ﬁltering
Note on Notation for Space and Frequency Domains:
Space Domain Frequency Domain
Our class, G&W 1992 Ch. 3 f(:13), ﬂay)
G&:W, 3r
CMPEN/EE 455
Digital Image Processing I
Lecture 11, Part 2
Continuous-to-Discrete: DFT
Instructor: Bill Higgins
School of Electrical Engineering
and Computer Science
Penn State University
Start: f a(x)
f (x)
F(u)
s(x)
apply lowpass filter
S(u)
sampler
s(
Constructing Image f(x) from a Sum of Frequency Components
Frequency f4(x) high frequency
Frequency f3(x)
Frequency f2(x)
Frequency f1(x) low frequency
4
F(x) = SUM cfw_ f i (x)
i=1
CMPEN/EE 455
Digital Image Processing I
Lecture 6, Part 2
Application of Image Filtering
Instructor: Bill Higgins
School of Electrical Engineering
and Computer Science
Penn State University
Image Filtering and Enhancement
1. Help with further computer-bas
Aperture Problem
Point Matching by shortest distance
Our interpretation of global motion
through a small window is often
erroneous
Line at time=t Line at time=t+1
We cannot predict global motion from
local observation through a small
aperture
1
Corner as
CMPEN/EE 455
Digital Image Processing I
Lecture 8, Part 2
FYI: Aperture Problem
Instructor: Bill Higgins
School of Electrical Engineering
and Computer Science
Penn State University
Aperture Problem
Point Matching by shortest distance
Our interpretation of
Region = ii W
CMPEN/EE455 Lecture 4
Set Notation G 2' w
U set union C k z ‘ 6, q
0 set intersection
at , - V.
C is G subset of ye? I D W
E “is an element of” . 3 ' top‘ mtiﬂ
u. , g (2; X s
52 18M an element of é CMPEN/EE455
1.
to
— Lect 4 2
Pixel Relati
CMPEN / E13455 Lecture 2
Elements of Human Perception (continued)
#
o Perceived brightness and contrast
0 Electromagnetic spectrum (G&W Figure 2.10)
4’ 1.2- PV‘"“"
— “Eagle Eye” demo
Read Sections 2.1—2.2 of G&W
The images we use are on the computer and r
CMPEN/EE 455
Digital Image Processing I
Lecture 3, Part 2
Image Types
Instructor: Bill Higgins
School of Electrical Engineering
and Computer Science
Penn State University
Three types of images:
Gray-scale images
I(x,y) [0.255]
Binary images
I(x,y) cfw_0
CMPEN/EE 455
Digital Image Processing I
Lecture 13, Part 2
DFT and Linear Convolution
for Filtering
Instructor: Bill Higgins
School of Electrical Engineering
and Computer Science
Penn State University
N
Useful property for
displaying images of
DFTs center
CMPEN/EE 455
Digital Image Processing I
Lecture 15, Pt. 2
Lowpass Filtering
Instructor: Bill Higgins
Dept. of Electrical Engineering
Dept. of Computer Science and Engineering
Penn State University
1
Lecture Notes page L15-4
Original image f(x,y)
Images Fo
CMPEN/EE455: Digital Image Processing I
Fall 2015
Written Homework #6
assigned:
due:
12 November 2015
3PM Friday, 20 November 2015 121 EE East homework slot
Reading Assignment: G&W 3.6-3.7, 10.2.1 10.2.5 up to page 712 (on edges), 9.19.3, 9.5.1 (peruse re
CMPEN/EE455 Homework #5 Solution
1
CMPEN/EE455 Homework #5 Solution
Problem 1 (continued)
2
c) I used MatLab to plot |H(u,v)|, as shown below. I assumed N = 256. I plotted one
NxN period between -127 u, v 128. Clearly, the maximum value of |H(u,v)| occurs
CMPEN/EE455: Digital Image Processing I
Fall 2015
Written Homework #7
assigned:
due:
29 November 2015
3PM Wednesday, 9 December 2015 in 121 EE East homework slot
Reading Assignment: G&W 2nd Ed. Ch. 10.3.5 (posted on ANGEL); G&W 6.1-6.4. Study solved G&W p
CMPEN/EE455 Homework #7 Solution
1.
1
CMPEN/EE455 Homework #7 Solution
2
1. (Continued)
2.
From Figure 6.5, we can estimate the values of red (x) and green (y):
x=0.16, y = 0.21.
This then gives z = 1 x y = 1 0.16 0.21 = 0.63 blue (z) = 0.63, which makes
CMPEN/EE455: Digital Image Processing I
Fall 2017
Written Homework #3
assigned:
due:
25 September 2017
Wednesday, 4 October 2017 in 121 EE East homework slot
Reading Assignment: G&W Ch. 4.2-4.6. Also, G&W 1992 edition Chapter 3 excerpt (on ANGEL).
Reminde
Modern Tensions and the Origins
of American Slavgy
By maroon? 1). JORDAN
Tamas to term 5mm we mow mar manners rinsr caste TO
the British continental colonies in 1611.1 What we do not lmow is
exactly when his were rst enslaved there. This question has
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CMPEN/EE455 Homework #1 Solution
1) G&W 2.8
1
CMPEN/EE455 Homework #1 Solution
2) This is a problem in writing out the numbers in the correct order and making sure that the units are correct:
Total number of bits / frame =
(2 hours) X (60 minutes/hour) X
CMPEN/EE 455: Digital Image Processing I
Fall 2017 Course Protocol
Instructor:
Bill Higgins, Professor, School of EE & CS and the Dept. of Biomedical Engineering
209F EE West
Phone: 865-0186;
email: [email protected]
Office Hours: Thursday 2:30-4:30PM or by ap
entropy
Article
Face Detection Based on Skin Color Segmentation
Using Fuzzy Entropy
Francisco A. Pujol 1, *, Mar Pujol 2 , Antonio Jimeno-Morenilla 1 and Mara Jos Pujol 3
1
2
3
*
Department of Computer Technology, University of Alicante, Alicante 03690, S