imageprocessing13 revision

8/16/2019 ImageProcessing13 Revision

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Course Website: http://www.comp.dit.ie/bmacnamee

Digital Image Processing:

Revision

Brian Mac ameeBrian.Macamee!comp.dit.ie

http://www.comp.dit.ie/bmacnameemailto:[email protected]:[email protected]://www.comp.dit.ie/bmacnamee


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"

o#

"$%e& 'tages in Digital Image Processing

Image

(c)uisition

Image

Restoration

Morphological

Processing

'egmentation

Representation

* Description

Image+nhancement

,b-ect

Recognition

Problem Domain

Colour Image

Processing

Image

Compression


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o#

"$

%e& 'tages in Digital Image Processing:

Image ()uisition

Image

(c)uisition

Image

Restoration

Morphological

Processing

'egmentation

Representation

* Description

Image+nhancement

,b-ect

Recognition

Problem Domain

Colour Image

Processing

Image

Compression I m a g e s t a / e n # r o m 0 o n 1 a l e 1 * W o o d s 2

D i g i t a l I m a g e P r o c e s s i n g 3 " 4 4 " 5


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6

o#

"$


Image +nhancement

Image

(c)uisition

Image

Restoration

Morphological

Processing

'egmentation

Representation

* Description

Image+nhancement

,b-ect

Recognition

Problem Domain

Colour Image

Processing

Image




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o#

"$


Image Restoration

Image

(c)uisition

Image

Restoration

Morphological

Processing

'egmentation

Representation

* Description

Image+nhancement

,b-ect

Recognition

Problem Domain

Colour Image

Processing

Image




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o#

"$


Morphological Processing

Image

(c)uisition

Image

Restoration

Morphological

Processing

'egmentation

Representation

* Description

Image+nhancement

,b-ect

Recognition

Problem Domain

Colour Image

Processing

Image




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o#

"$


'egmentation

Image

(c)uisition

Image

Restoration

Morphological

Processing

'egmentation

Representation

* Description

Image+nhancement

,b-ect

Recognition

Problem Domain

Colour Image

Processing

Image


D i g i t a l I m a

g e P r o c e s s i n g 3 " 4 4 " 5


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,b-ect Recognition

Image

(c)uisition

Image

Restoration

Morphological

Processing

'egmentation

Representation

* Description

Image+nhancement

,b-ect

Recognition

Problem Domain

Colour Image

Processing

Image


D i g i t a l I m a

g e P r o c e s s i n g 3 " 4 4 " 5


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Representation * Description

Image

(c)uisition

Image

Restoration

Morphological

Processing

'egmentation

Representation

* Description

Image+nhancement

,b-ect

Recognition

Problem Domain

Colour Image

Processing

Image


D i g i t a l I m a

g e P r o c e s s i n g 3 " 4 4 " 5


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o#

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Image Compression

Image

(c)uisition

Image

Restoration

Morphological

Processing

'egmentation

Representation

* Description

Image+nhancement

,b-ect

Recognition

Problem Domain

Colour Image

Processing

Image

Compression


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o#

"$


Colour Image Processing

Image

(c)uisition

Image

Restoration

Morphological

Processing

'egmentation

Representation

* Description

Image+nhancement

,b-ect

Recognition

Problem Domain

Colour Image

Processing

Image


D i g i t a l I m a

g e P r o c e s s i n g 3 " 4 4 " 5


12/26

;"

o#

"$ (C0?

THIS IS NOT A LIST OF

WHAT IS COMING UP IN

YOUR EXAM – DO NOT

COMPLAIN!


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;

o#

"$Introduction to Image Processing

What is a digital image@What is digital image processing@


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;6

o#

"$Digital Image Processing Aundamentals

=he human visual s&stemight and the electromagnetic spectrum

Image ac)uisition

Image sampling and )uantisation

'patial and intensit& level resolution


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o#

"$Image +nhancement

+nhancement in the spatial and #re)uenc&domains

Point processing

og trans#ormation Power law trans#ormation


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o#

"$'patial Ailtering

'patial #iltering process Can &ou eplain how it wors@

'moothing #ilters

Problems at image edges during #iltering Padding and di##erent padding techni)ues

Di##erence between correlation and

convolution


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;$

o#

"$'patial Ailtering 3contE5

'patial di##erentiation

;st derivative

"nd derivative

Di##erentiation based #ilters


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o#

"$Are)uenc& Domain Ailtering

=he Aourier trans#orm Be able to eplain the big idea behind it

Gou do not need to now the maths #or it

Importance o# the inverse Aourier trans#orm


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;

o#

"$Are)uenc& Domain Ailtering 3contE5


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o#

"$Image Restoration: oise Removal

Image enhancement vs. image restorationWhat is meant b& noise removal@

What is meant b& a noise model@

Common noise models 0aussian

Ra&leigh

+rlang

Ailtering to remove noise 'imple mean #ilter

,ther mean #ilters

),(),(),( y x y x f y x g η +=

+ponential

>ni#orm

Impulse 3salt * pepper5


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o#

"$

Image Restoration: oise Removal

3contE5

,rder statistics #ilters Median #ilter

Ma and min #ilter

Midpoint #ilter (lpha trimmed mean #ilter

Removing noise in the #re)uenc& domain Particularl& good #or removing periodic noise

Band re-ect #ilters Ideal band re-ect #ilter

Butterworth band re-ect #ilter

0aussian band re-ect #ilter


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""

o#

"$Image 'egmentation: =hresholding

=he segmentation problemImportance o# good thresholding

Problems that can arise with thresholding

=he basic global thresholding algorithm

'ingle value thresholding vs. multiple value

thresholding

Basic adaptive thresholding


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"

o#

"$Morphological Image Processing

Basic morphological concepts and operations


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o#

"$Gour +am?

Aollows the same #ormat as previous &ears6 )uestions in each section2 attempt an&

)uestions #rom each section

Read the )uestions care#ull&

DO THE PAST PAPERS available online


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o#

"$'ummar&

=here are two main -obs in image processing +nhancement o# images #or human viewing

Preparation o# images #or machine processing

Both o# these are hard areas to wor in?We have covered a lot o# the #irst area2 and a

little o# the second

=he sub-ect o# machine vision is huge2 growingand reall& interesting


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o#

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=han &ou ver&

much #or listeningand good luc in

&our eams

imageprocessing13 revision

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