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Computer Vision – Computer Vision – IntroductionIntroduction
Hanyang University
Jong-Il Park
Department of Computer Science and Engineering, Hanyang University
This ClassThis Class
Goal Understanding basic concepts and methodologies for
image processing(IP) Developing a foundation for further study and research
in IP and computer vision(CV) Learning how to develop IP/CV software
How? Lectures: 3 hours/week
Ordinary lecture(3/4) Programming lesson(1/4)
Assignments: 2~3/month
Department of Computer Science and Engineering, Hanyang University
TextbookTextbook
Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, 3rd Edition, Prentice Hall, 2002.
References Inoue et al., C 언어로 배우는
실천 영상처리 , 성안당 , 2003. 황선규 , 영상처리프로그래밍
by Visual C++, 한 빛 미 디 어 , 2007.
Department of Computer Science and Engineering, Hanyang University
BackgroundBackground
1. Probability Theory and Random Process2. Linear Algebra3. Signals and Systems4. Digital Signal Processing 5. C/C++ programming skill
Department of Computer Science and Engineering, Hanyang University
ImagesImages
Department of Computer Science and Engineering, Hanyang University
What is Image?What is Image?
picture size picture resolution ; 256256, 512512 0 f(x,y) L(=255) ; gray level, 8bit/pixel (x,y) ;spatial coordinate t ;temporal coordinate
Department of Computer Science and Engineering, Hanyang University
Image formationImage formation
Department of Computer Science and Engineering, Hanyang University
Department of Computer Science and Engineering, Hanyang University
Department of Computer Science and Engineering, Hanyang University
[http://learn.hamamatsu.com/articles/microscopyimaging.html]
Department of Computer Science and Engineering, Hanyang University
Image CoordinateImage Coordinate
Department of Computer Science and Engineering, Hanyang University
1,10,1
1,11,10,11,01,00,0
,
NMfMf
NfffNfff
yxf
1,10,1
1,00100
NMM
N
aa
aaa
A
; M×N matrix
; aij= f (x=i, y=j)
Department of Computer Science and Engineering, Hanyang University
Spatial ResolutionSpatial Resolution
Department of Computer Science and Engineering, Hanyang University
Department of Computer Science and Engineering, Hanyang University
Gray-Level ResolutionGray-Level Resolution
256 128 16 8
64 32 4 2
Department of Computer Science and Engineering, Hanyang University
[http://learn.hamamatsu.com/articles/microscopyimaging.html]
Department of Computer Science and Engineering, Hanyang University
Functional form Functional form Functional forms
f(x,y) : 2-D still image f(x,y,t), f(x,y,z) : video sequence, 3D object f(x,y,z,t) : moving 3-D object
Meaning brightness(luminance) or color of an object
TV camera, scanner absorption characteristics of objects(especially bodies)
X-ray imaging, Ultrasonic imaging, CT distance between objects and measuring instrument
sonar imaging, radar imaging, range camera temperature of an object
IR(infrared) camera
Department of Computer Science and Engineering, Hanyang University
Famous ImagesFamous Images
Lena (512*512) Barboon (512*512) Boat (512*512)
Department of Computer Science and Engineering, Hanyang University
First photographFirst photograph
First photograph due to Niepce, First on record shown - 1822 Basic abstraction is the pinhole
camera
First successful commercial photograph due to Eastman in late 19th
Department of Computer Science and Engineering, Hanyang University
First digital pictureFirst digital picture
Department of Computer Science and Engineering, Hanyang University
Department of Computer Science and Engineering, Hanyang University
First digital image processingFirst digital image processing Early 1960s
Department of Computer Science and Engineering, Hanyang University
DIP in medical imagingDIP in medical imaging Late 1960s and early 1970s Computed tomography(CT)
NIKSHanyang Univ.2002.
RecentApplication
Department of Computer Science and Engineering, Hanyang University
EM spectrumEM spectrum
Department of Computer Science and Engineering, Hanyang University
Examples:Examples:
Gamma-ray imagingGamma-ray imaging
Department of Computer Science and Engineering, Hanyang University
Examples:Examples:
X-ray imagingX-ray imaging
Department of Computer Science and Engineering, Hanyang University
Examples:Examples:
Microscopy imagesMicroscopy images
Department of Computer Science and Engineering, Hanyang University
Thematic bandsThematic bands
Department of Computer Science and Engineering, Hanyang University
Department of Computer Science and Engineering, Hanyang University
Examples:Examples:
Multi-spectral imagingMulti-spectral imaging
Department of Computer Science and Engineering, Hanyang University
Examples:Examples:
Imaging in the visible bandImaging in the visible band
Department of Computer Science and Engineering, Hanyang University
Department of Computer Science and Engineering, Hanyang University
Examples:Examples:
Infrared imagingInfrared imaging
NighttimeLights ofThe World
Department of Computer Science and Engineering, Hanyang University
Examples:Examples:
Microwave imagingMicrowave imaging
Radar image
Department of Computer Science and Engineering, Hanyang University
Examples:Examples:
Radio band imagingRadio band imaging
Department of Computer Science and Engineering, Hanyang University
Examples:Examples:
Ultrasound imagingUltrasound imaging
Department of Computer Science and Engineering, Hanyang University
Examples:Examples:
Electron microscopeElectron microscope
Scanning Electron Microscope
Department of Computer Science and Engineering, Hanyang University
Examples:Examples:
Computer-generated imagesComputer-generated images
Department of Computer Science and Engineering, Hanyang University
IP vs. Computer VisionIP vs. Computer Vision
Imageprocessing
Computervision
Imageanalysis
Low-level Mid-level High-level
•Filtering•Enhancement•Restoration•Edge detection•Compression
•Segmentation•Classification
•Recognition•AI
Image-inImage-out
Image-inFeature-out
Image-inDecision-out
Vision continuum
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