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Course Introduction to 2015
Image Processing
Last updated 2015. 02. 22
Heejune Ahn, SeoulTech
What we learn in this course?
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Key algorithms for image processing
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Hand-on experience with MatlabTM
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Through lecture, reading
Through practice lab and homework
Try real world problems
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Term project
Why and What Image processing is ?
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Two types
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Better recognition of human users
Easy understanding of machines
IP vs CV
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Image processing (a branch of signal processing)
Computer Vision (a branch of artificial intelligent)
Human-analogy: eyes+visual perception sys. vs brain
Image
Processing
Features
(points, boundaries,
texture, etc)
Human
user
Pattern
Recogniti
on
Usecases
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http://www.pictriev.com/
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Handwrite detection
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Auto-driving & environment detection
How we learn: Undergrad
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Step 1: Basic knowledge
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Step 2: Detail understanding
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by lecture and home-work
by laboratory and home work
Step 3: Further Practice
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By class project
How we learn: Grad
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Step 1: Basic knowledge
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Step 2: Detail understanding
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by lecture and home-work
by home work and literature reading
Step 3: Further Practice
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By class paper
What the students to do
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Read text carefully
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Run the all Matlab code yourself.
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Learn by hand By typing, not copying code
Try to imagine how the function works
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The lecture is only cover key things.
Think rough routines inside
Try to implements some yourself.
Visit TA office.
Text book
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Textbook
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Fundamentals of Digital Image
Processing: A Practical Approach
with Examples in Matlab
Chris Solomon, Toby Breckon
ISBN: 978-0-470-84472-4, 344
pages, December 2010
http://www.fundipbook.com
Why not Gonzales’ book?

Shorter, more intuitive description,
no Korean translation book, nicer
Matlab code
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How to get the textbook
• 구내서점에서 판매는 하지 않겠습니다.
• 현재 교보문고 인터넷 판매가는 116,290원입니다.
• 저희 학산미디어 공급 판매가는 45,000원에서
할인하여 40,000원입니다
• 구매하실 분들은 연락처 010-3223-7340로 전화주문
하면 택배로 발송함
• (계좌번호 농협: 215099-56-090731 예금주 이덕선)
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Chapter 1 pdf is provided for your study
before your purchase order’s arrival
For Graduate
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Literature sources
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IEEE Conference on Computer Vision and Pattern Recognition,
CVPR
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE International Conference on Computer Vision, ICCV
IEEE Transactions on Image Processing
Pattern Recognition