Lecture 1 for Digital Image Processing (2nd Edition)

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Digital Image Processing (2 nd Edition) Rafael C. Gonzalez Richard E.Woods Dr Moe Moe Myint Technological University (Kyaukse) www.slideshare.net/MoeMoeMyint [email protected] drmoemoemyint.blogspot.com

Transcript of Lecture 1 for Digital Image Processing (2nd Edition)

Page 1: Lecture 1 for Digital Image Processing (2nd Edition)

Digital Image Processing (2nd Edition)

Rafael C. GonzalezRichard E.Woods

Dr Moe Moe Myint

Technological University (Kyaukse)

www.slideshare.net/MoeMoeMyint [email protected] drmoemoemyint.blogspot.com

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2 Miscellanea Lectures: Class A

Tuesday 6-7 Thursday 1-2

Lectures: Class B Monday 1-2 Wednesday 6-7

Labs: Tuesday for Class A and Wednesday for Class B

Web Site:

www.slideshare.net/MoeMoeMyint drmoemoemyint.blogspot.com

E-mail: [email protected]

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3 Contents for Chapter 1

This lecture will cover: What is digital image processing? 1 The origins of digital image processing? 3 Examples of fields that use digital image processing?

7 Fundamental Steps in Digital Image Processing

25 Components of an image processing system 28 Summary 30

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4 Introduction

“One picture is worth more than ten thousand words”

Anonymous

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5 Preview Digital image processing methods are interested by two major

applications:

i. Improvement of pictorial information for human perception and processing of image data for storage, transmission

Noise filtering Content Enhancement

Contrast enhancement Deblurring

Remote sensing

ii. Representation for autonomous machine perception

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6 Objectives

i. To define the scope of the field that we call image processing

ii. To give a historical perspective of the origins of this field

iii. To give an idea of the state of the art in image processing by examining some of the principal areas in which it is applied

iv. To discuss briefly the principal approaches used in digital image processing

v. To give an overview of the components contained in a typical, general-purpose image processing system

vi. To provide direction to the books and other literature where image processing work normally is reported

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An image may be defined as a two-dimensional function

f (x , y)

where x and y are spatial (plane) coordinates, and the amplitude of f at any pair of coordinates (x, y) is called the intensity or gray level of the image at that point. When x, y, and the amplitude values of f are all finite, discrete

quantities, we call the image a digital image. The field of digital image processing refers to processing digital

images by means of a digital computer. Digital image is composed of a finite number of elements, each of

which has a particular location and value. These elements are referred to as picture elements, image elements,

and pixels. Pixel is the term most widely used to denote the elements of a digital image.

What is Digital Image Processing?

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8 The Origins of Digital Image Processing

Early 1920s: One of the first applications of digital imaging was in the newspaper industry

In 1920s Submarine cables were used to transmit digitized newspaper pictures between London and New York using Bartlane systems.

Specialized printing equipments were used to code the images and reproduced at receiver using telegraphic printers.

In 1921, photographic printing press improved the resolution and tonal quality of images.

Bartlane system was capable of coding 5 distinct brightness levels. It increased to 15 by 1929.

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9

Fig. telegraphic printer

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Fig. A digital picture produced using telegraphic printer(in 1921, 1922 - Atlantic, 1929 – London to New York

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11 After 35 years of improvement in processing technique In 1960s, Improvements in computing technology and the

onset of the space program during the period. In 1964, Computer processing techniques were used to

improve picture of moon transmitted by Ranger 7 at JPL.

This was the basis of modern image processing technique.

Fig. The first picture of the moon by a U.S. spacecraft

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Fig. Typical head slice CAT image

1970s: Digital image processing begins to be used in medical applications 1979: Sir Godfrey N. Hounsfield & Prof. Allan M. Cormack share

the Nobel Prize in medicine for the invention of tomography, the technology behind Computerised Axial Tomography (CAT) scans

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13 Today: The use of digital image processing techniques has

exploded and they are now used for all kinds of tasks in all kinds of areas Image enhancement/restoration Artistic effects Medical visualisation Industrial inspection Law enforcement Human computer interfaces

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Fig. Noisy Image Fig. Filtered Image

Fig. Low Contrast Image Fig. Enhanced Image

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Fig. Motion Blurred Fig. Deblurred

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Artistic effects are used to make images more visually appealing, to add special effects and to make composite images.

Artistic Effects

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17Medical Visualisation

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18Industrial Inspection

Human operators are expensive, slow and unreliable

Make machines do the job instead

Industrial vision systems are used in all kinds of industries

Can we trust them?

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19 Law Enforcement Image processing techniques are

used extensively by law enforcers Number plate recognition for

speed cameras/automated toll systems

Fingerprint recognition Enhancement of CCTV

images

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20 HCI

Try to make human computer interface more natural Face recognition Gesture recognitionDoes anyone remember the user interface from “Minority Report”?These tasks can be extremely difficult

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Fig. The electromagnetic spectrum arranged according to energy per photon

Examples of Fields that Use Digital Image Processing

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Infrared Imaging (Performance)

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UV Imaging

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X-Ray Imaging

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25 X-Ray Imaging

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Gamma Ray Imaging

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Fig. Examples of gamma-ray imaging. (a) Bone scan. (b) PET image

Gamma-Ray Imaging

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28 Imaging in the Visible and Infrared Bands

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Table : Thematic bands in NASA’s LANDSAT satellite

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30GIS

Geographic Information Systems Digital image processing techniques are used

extensively to manipulate satellite imagery Terrain classification Meteorology

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31 GIS (cont…) Night-Time Lights of the World

data set Global inventory of human

settlement Not hard to imagine the

kind of analysis that might be done using this data

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32 Industrial Inspection Human operators are expensive,

slow andunreliable

Make machines do thejob instead

Industrial vision systems are used in all kinds of industries

Can we trust them?

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33 Imaging in the Microwave Band

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34 Imaging in the Radio Band

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Examples in which other imaging modalities are used

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36 PCB Inspection Printed Circuit Board (PCB) inspection

Machine inspection is used to determine that all components are present and that all solder joints are acceptable

Both conventional imaging and x-ray imaging are used

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Fundamental Steps in Digital Image Processing

Image Acquisition

Image Restoration

Morphological Processing

Segmentation

Object Recognition

Image Enhancement

Representation & Description

Problem Domain

Colour Image Processing

Wavelets and multiresolution

processingCompression

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Fundamental Steps in Digital Image Processing

Image Acquisition

Image Restoration

Morphological Processing

Segmentation

Object Recognition

Image Enhancement

Representation & Description

Problem Domain

Colour Image Processing

Wavelets and multiresolution

processingCompression

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Fundamental Steps in Digital Image Processing

Image Acquisition

Image Restoration

Morphological Processing

Segmentation

Object Recognition

Image Enhancement

Representation & Description

Problem Domain

Colour Image Processing

Wavelets and multiresolution

processingCompression

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Fundamental Steps in Digital Image Processing

Image Acquisition

Image Restoration

Morphological Processing

Segmentation

Object Recognition

Image Enhancement

Representation & Description

Problem Domain

Colour Image Processing

Wavelets and multiresolution

processingCompression

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Fundamental Steps in Digital Image Processing

Image Acquisition

Image Restoration

Morphological Processing

Segmentation

Object Recognition

Image Enhancement

Representation & Description

Problem Domain

Colour Image Processing

Wavelets and multiresolution

processingCompression

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Fundamental Steps in Digital Image Processing

Image Acquisition

Image Restoration

Morphological Processing

Segmentation

Object Recognition

Image Enhancement

Representation & Description

Problem Domain

Colour Image Processing

Wavelets and multi-resolution

processingCompression

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Fundamental Steps in Digital Image Processing

Image Acquisition

Image Restoration

Morphological Processing

Segmentation

Object Recognition

Image Enhancement

Representation & Description

Problem Domain

Colour Image Processing

Wavelets and multiresolution

processingCompression

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Fundamental Steps in Digital Image Processing

Image Acquisition

Image Restoration

Morphological Processing

Segmentation

Object Recognition

Image Enhancement

Representation & Description

Problem Domain

Colour Image Processing

Wavelets and multiresolution

processingCompression

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Fundamental Steps in Digital Image Processing

Image Acquisition

Image Restoration

Morphological Processing

Segmentation

Object Recognition

Image Enhancement

Representation & Description

Problem Domain

Colour Image Processing

Wavelets and multiresolution

processingCompression

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Fundamental Steps in Digital Image Processing

Image Acquisition

Image Restoration

Morphological Processing

Segmentation

Object Recognition

Image Enhancement

Representation & Description

Problem Domain

Colour Image Processing

Wavelets and multiresolution

processingCompression

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Fundamental Steps in Digital Image Processing

Image Acquisition

Image Restoration

Morphological Processing

Segmentation

Object Recognition

Image Enhancement

Representation & Description

Problem Domain

Colour Image Processing

Wavelets and multiresolution

processingCompression

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48Components of an Image Processing System

Image displays Computer Mass storage

Specialized image processing hardware

Hardcopy Image processing software

Image sensors

Problem domain

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49 Summary

We have looked at: What is a digital image? What is digital image processing? History of digital image processing State of the art examples of digital image

processing Key stages in digital image processing

Next time we will start to see how it all works…

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50 References

“Digital Image Processing”, 2/ E, Rafael C. Gonzalez & Richard E. Woods, www.prenhall.com/gonzalezwoods.

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Questions?