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Digital Image Processing 0909.452.01/0909.552.01 Fall 2001

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Title: Digital Image Processing Lecture Author: Shreekanth Mandayam Last modified by: College of Engineering Created Date: 9/21/1998 7:15:22 PM Document presentation ... – PowerPoint PPT presentation

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Title: Digital Image Processing 0909.452.01/0909.552.01 Fall 2001


1
Digital Image Processing0909.452.01/0909.552.01
Fall 2001
Lecture 1September 10, 2001
  • Shreekanth Mandayam
  • ECE Department
  • Rowan University
  • http//engineering.rowan.edu/shreek/fall01/dip/

2
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?
  • Course logistics
  • Self-Assessment Test
  • Sampling Quantization
  • Image Preprocessing
  • Pre-Lab 1

3
Images
Sample Quantize
4
Digital Image
y
x
Gray Level
f(x,y)
5
Fundamental Steps
Representation Description
Preprocessing
Segmentation
Knowledge Base
Problem Domain
Image Acquisition
Recognition Interpretation
Result
Rafael C. Gonzalez and Richard E. Woods, Digital
Image Processing, Addison-Wesley, 1992
6
DIP Details
7
DIP Course Logistics
http//engineering.rowan.edu/shreek/fall01/dip/
8
Sampling Quantization
  • Sampling
  • demos/demo1sampling_and_quantization/demo_sampling
    .m
  • Quantization
  • demos/demo1sampling_and_quantization/demo_quant.m

9
Image Preprocessing
Restoration
Enhancement
  • Inverse filtering
  • Wiener filtering

Spatial Domain
Spectral Domain
  • Filtering
  • gtgtfft2/ifft2
  • gtgtfftshift
  • Point Processing
  • gtgtimadjust
  • gtgthisteq
  • Spatial filtering
  • gtgtfilter2

10
Point Processing(Intensity Transformation)
s(x,y) T r(x,y)
Transformed Gray Level
Original Gray Level
Transformation Function
gtgtimadjdemo gtgtimadjust
11
Pre-Lab 1 Intro to Matlab IP Toolbox
http//engineering.rowan.edu/shreek/fall01/dip/ip
intro.html
12
Summary
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