Introduction to Digital Image Processing

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Introduction to Digital Image Processing
February 25, 2003

• Shreekanth Mandayam
• ECE Department
• Rowan University
• http//engineering.rowan.edu/shreek/spring03/cc/

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Hurricane Fran, TIME Magazine, Sept. 16,
1996 Picture Taken by GOES-8, NASA GODDARD SPACE
FLIGHT CENTER
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ABA E-13B Font
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Biometrics
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Module Overview

• Lecture 1
• Digital Image Fundamentals
• Digital Image Enhancement
• Lecture 2
• Digital Image Segmentation
• Digital Image Compression

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Lecture 1

• Digital Image Fundamentals

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Lecture 1 Plan

• What is an image?
• Mathematical representation of monochromatic
  images
• What is a digital image?
• Digital image processing
• Fundamental steps
• Why do we need this?
• Sampling Quantization
• Image Preprocessing

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Images
Sample Quantize
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Monochromatic Digital Image
y
x
Gray Level
f(x,y)
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Color Images
Mixtures of Light Additive Primaries
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RGB Color Space
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Fundamental Steps
Preprocessing (Enhancement Restoration)
Representation Description
Segmentation
Knowledge Base
Problem Domain
Image Acquisition
Recognition Interpretation
Result
Rafael C. Gonzalez and Richard E. Woods, Digital
Image Processing, Addison-Wesley, 1992
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DIP Details
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Sampling Quantization

• Sampling
• demos/demo1sampling_and_quantization/demo_sampling
  .m
• Quantization
• demos/demo1sampling_and_quantization/demo_quant.m

Digital Image Processing Course Nos. 0909-452-01
(Senior Elective) and 0909-552-01 (Graduate)
Fall 2003 Previous Offering http//engineering.
rowan.edu/shreek/fall01/dip/
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DIP Topics
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Image Preprocessing
Restoration
Enhancement

• Inverse filtering
• Wiener filtering

Spatial Domain
Spectral Domain

• Filtering
• gtgtfft2/ifft2
• gtgtfftshift

• Point Processing
• gtgtimadjust
• gtgthisteq

• Spatial filtering
• gtgtfilter2

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Point Processing(Intensity Transformation)
s(x,y) T r(x,y)
Transformed Gray Level
Original Gray Level
Transformation Function
gtgtimadjdemo gtgtimadjust
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Point Processing

• Pixel Operations
• Point processing
• Histogram equalization
• Connectivity

individual pixels
all pixels
neighboring pixels
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Point Processing
L-1
s2
s
g
s
s1
0
r
r
r1
r2
L-1
0
gtgtimadjdemo gtgtimadjust
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Image Histogram
gtgtimadjdemo gtgtimhist
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Histogram Equalization(Balancing)
gtgtimadjdemo gtgthisteq
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Summary
Digital Image Processing Course Nos. 0909-452-01
(Senior Elective) and 0909-552-01 (Graduate)
Fall 2003 Previous Offering http//engineering.
rowan.edu/shreek/fall01/dip/

• Next Tuesday Lecture 2
• Digital Image Segmentation
• Digital Image Compression