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Sayısal Görüntü İşleme Teknikleri

Doç. Dr. Mehmet Serdar Güzel

Slides are mainly adapted from the following course page:

http://www.comp.dit.ie/bmacnamee and

https://www.tutorialspoint.com/dip/

(2)

Lecturer

 Instructor: Assoc. Prof Dr. Mehmet S Güzel

 Office hours: Tuesday, 1:30-2:30pm

 Open door policy – don’t hesitate to stop by!

 Watch the course website

 Assignments, lab tutorials, lecture notes

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Examples: Industrial Inspection

 Human operators are expensive and changeable

 Industrial vision systems

are used in all kinds of industries

 Can we trust them?

Im a g e s ta ke n f ro m G o n za le z & W o o d s, D ig ita l I m a g e P ro ce ss in g ( 2 0 0 2 )

(4)

Examples: 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

(5)

Law Enforcement

 Image processing techniques are used by law enforcers

 Number plate recognition for speed cameras/automated toll systems

 Face recognition

 Deveolopment of CCTV images

Im a g e s ta ke n f ro m G o n a le z & W o o d s, D ig ita l I m a g e P ro ce ss in g ( 2 0 0 2 )

(6)

Human Computer Interface

 Try to make human computer interfaces more natural

 Gesture recognition

 Does anyone remember the

user interface from “Minority Report”?

(7)

Key Issues in Digital Image Processing

Image Acquirement

Image Restoration

Morphological Operations

Segmentation

Representation Image

Enhancement

Object Detection &&

Recognition

Problem Field

Colour Image Processing

Image

Compression

(8)

Key Issues in Digital Image Processing

Image Acquirement

Image Restoration

Morphological Operations

Segmentation

Representation Image

Enhancement

Object Detection &&

Recognition

Problem Field

Colour Image Processing

Image

Compression

(9)

Key Issues in Digital Image Processing

Image Acquirement

Image Restoration

Morphological Operations

Segmentation

Representation Image

Enhancement

Object Detection &&

Recognition

Problem Field

Colour Image Processing

Image

Compression

(10)

Key Issues in Digital Image Processing

Image Acquirement

Image Restoration

Morphological Operations

Segmentation

Representation Image

Enhancement

Object Detection &&

Recognition

Problem Field

Colour Image Processing

Image

Compression

(11)

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

Referanslar

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