SlideShare uma empresa Scribd logo
1 de 35
“ONE PICTURE IS WORTH MORE THAN TEN THOUSAND WORDS”
MK(06/07/2020)
MK(06/07/2020)
INTRODUCTION
WHAT IS DIGITAL IMAGE PROCESSING?
 An image may be defined as a two –dimensional function,f(x,y)
 X and Y are spatial(plane) coordinates.
 Amplitude of f at any pair of coordinates(x,y)is called the intensity or gray
level of the image at the point.
 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.
MK(06/07/2020)
A digital image is a representation of a two –dimensional
image as a finite set of digital values , called picture
elements or pixels.
MK(06/07/2020)
ORIGIN OF DIP
• Early 1920s: one of the first application of digital imaging was in the newspaper industry.
• The Bartlane cable picture transmission service
• Image were transferred by submarine cable between London and New York.
• Pictures were coded for cable transfer and reconstructed at the receiving end on a telegraph printer.
MK(06/07/2020)
MK(06/07/2020)
• Improvements to the Bartlane system resulted in higher qualityimages.
• New reproduction processes based on photographic techniques.
• Increased number of tones in reproduced images.
MK(06/07/2020)
• 1960s:improvements in computing technology and the onset of the
space race led to a surge of work in digital image processing.
• 1964:computers used to improve the quality of images of the moon
taken by the range 7 probe.
• Such techniques were used in other space missions including the
apollo landings.
MK(06/07/2020)
• 1970s:Digital image processing begins to be used in medical
applications.
• 1979:Sirgodfrey 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.
MK(06/07/2020)
• Now a days :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 visualization
• Industrial inspection
• Law enforcement
• Human computer interfaces.
MK(06/07/2020)
MK(06/07/2020)
MK(06/07/2020)
ARTISTICS EFFECTS
• Artistics effects are used to make images more visually appealing, to
add special effects and to make composite images.
MK(06/07/2020)
MEDICAL VISUALIZATION
MK(06/07/2020)
INDUSTRIAL INSPECTION
• Human operators are expensive ,slow and unreliable.
• Make machine do the job instead
• Industrial vision system are used in all kinds of industries.
MK(06/07/2020)
LAW ENFORCEMENT
• Image processing techiques are used extensively by law enforcers.
• Number plate recoginition for speed cameras/automated toll systems
• Fingerprint recognition
• Enhancement of CCTV images.
MK(06/07/2020)
MK(06/07/2020)
MK(06/07/2020)
MK(06/07/2020)
MK(06/07/2020)
MK(06/07/2020)
MK(06/07/2020)
MK(06/07/2020)
MK(06/07/2020)
MK(06/07/2020)
MK(06/07/2020)
MK(06/07/2020)
MK(06/07/2020)
MK(06/07/2020)
MK(06/07/2020)
MK(06/07/2020)
MK(06/07/2020)
MK(06/07/2020)
COMPONENTS OF AN IMAGE PROCESSING
SYSTEM
MK(06/07/2020)
MK(06/07/2020)

Mais conteúdo relacionado

Mais procurados

Lecture 1 for Digital Image Processing (2nd Edition)
Lecture 1 for Digital Image Processing (2nd Edition)Lecture 1 for Digital Image Processing (2nd Edition)
Lecture 1 for Digital Image Processing (2nd Edition)Moe Moe Myint
 
Image processing on matlab presentation
Image processing on matlab presentationImage processing on matlab presentation
Image processing on matlab presentationNaatchammai Ramanathan
 
Digital Image Processing Fundamental
Digital Image Processing FundamentalDigital Image Processing Fundamental
Digital Image Processing FundamentalThuong Nguyen Canh
 
Digital Image Processing: Image Segmentation
Digital Image Processing: Image SegmentationDigital Image Processing: Image Segmentation
Digital Image Processing: Image SegmentationMostafa G. M. Mostafa
 
Image noise reduction
Image noise reductionImage noise reduction
Image noise reductionJksuryawanshi
 
Introduction to Image Compression
Introduction to Image CompressionIntroduction to Image Compression
Introduction to Image CompressionKalyan Acharjya
 
Image processing, Noise, Noise Removal filters
Image processing, Noise, Noise Removal filtersImage processing, Noise, Noise Removal filters
Image processing, Noise, Noise Removal filtersKuppusamy P
 
04 image enhancement edge detection
04 image enhancement edge detection04 image enhancement edge detection
04 image enhancement edge detectionRumah Belajar
 
Image enhancement techniques
Image enhancement techniquesImage enhancement techniques
Image enhancement techniquesSaideep
 
Wavelet based image compression technique
Wavelet based image compression techniqueWavelet based image compression technique
Wavelet based image compression techniquePriyanka Pachori
 
Chapter 1 and 2 gonzalez and woods
Chapter 1 and 2 gonzalez and woodsChapter 1 and 2 gonzalez and woods
Chapter 1 and 2 gonzalez and woodsasodariyabhavesh
 
Image filtering in Digital image processing
Image filtering in Digital image processingImage filtering in Digital image processing
Image filtering in Digital image processingAbinaya B
 
Digital image processing
Digital image processingDigital image processing
Digital image processingABIRAMI M
 
Chapter 3 image enhancement (spatial domain)
Chapter 3 image enhancement (spatial domain)Chapter 3 image enhancement (spatial domain)
Chapter 3 image enhancement (spatial domain)asodariyabhavesh
 
Chapter 9 morphological image processing
Chapter 9   morphological image processingChapter 9   morphological image processing
Chapter 9 morphological image processingAhmed Daoud
 
Digital Image restoration
Digital Image restorationDigital Image restoration
Digital Image restorationMd Shabir Alam
 
Digital Image Processing - Image Enhancement
Digital Image Processing  - Image EnhancementDigital Image Processing  - Image Enhancement
Digital Image Processing - Image EnhancementMathankumar S
 
Image Restoration (Frequency Domain Filters):Basics
Image Restoration (Frequency Domain Filters):BasicsImage Restoration (Frequency Domain Filters):Basics
Image Restoration (Frequency Domain Filters):BasicsKalyan Acharjya
 

Mais procurados (20)

Lecture 1 for Digital Image Processing (2nd Edition)
Lecture 1 for Digital Image Processing (2nd Edition)Lecture 1 for Digital Image Processing (2nd Edition)
Lecture 1 for Digital Image Processing (2nd Edition)
 
Image enhancement
Image enhancementImage enhancement
Image enhancement
 
Image processing on matlab presentation
Image processing on matlab presentationImage processing on matlab presentation
Image processing on matlab presentation
 
Digital Image Processing Fundamental
Digital Image Processing FundamentalDigital Image Processing Fundamental
Digital Image Processing Fundamental
 
Digital Image Processing: Image Segmentation
Digital Image Processing: Image SegmentationDigital Image Processing: Image Segmentation
Digital Image Processing: Image Segmentation
 
Image noise reduction
Image noise reductionImage noise reduction
Image noise reduction
 
Introduction to Image Compression
Introduction to Image CompressionIntroduction to Image Compression
Introduction to Image Compression
 
Image processing, Noise, Noise Removal filters
Image processing, Noise, Noise Removal filtersImage processing, Noise, Noise Removal filters
Image processing, Noise, Noise Removal filters
 
04 image enhancement edge detection
04 image enhancement edge detection04 image enhancement edge detection
04 image enhancement edge detection
 
Image enhancement techniques
Image enhancement techniquesImage enhancement techniques
Image enhancement techniques
 
Wavelet based image compression technique
Wavelet based image compression techniqueWavelet based image compression technique
Wavelet based image compression technique
 
Chapter 1 and 2 gonzalez and woods
Chapter 1 and 2 gonzalez and woodsChapter 1 and 2 gonzalez and woods
Chapter 1 and 2 gonzalez and woods
 
Image filtering in Digital image processing
Image filtering in Digital image processingImage filtering in Digital image processing
Image filtering in Digital image processing
 
Digital image processing
Digital image processingDigital image processing
Digital image processing
 
Chapter 3 image enhancement (spatial domain)
Chapter 3 image enhancement (spatial domain)Chapter 3 image enhancement (spatial domain)
Chapter 3 image enhancement (spatial domain)
 
Chapter 9 morphological image processing
Chapter 9   morphological image processingChapter 9   morphological image processing
Chapter 9 morphological image processing
 
Spatial domain and filtering
Spatial domain and filteringSpatial domain and filtering
Spatial domain and filtering
 
Digital Image restoration
Digital Image restorationDigital Image restoration
Digital Image restoration
 
Digital Image Processing - Image Enhancement
Digital Image Processing  - Image EnhancementDigital Image Processing  - Image Enhancement
Digital Image Processing - Image Enhancement
 
Image Restoration (Frequency Domain Filters):Basics
Image Restoration (Frequency Domain Filters):BasicsImage Restoration (Frequency Domain Filters):Basics
Image Restoration (Frequency Domain Filters):Basics
 

Semelhante a DIGITAL IMAGE PROCESSING

1. digital image processing
1. digital image processing1. digital image processing
1. digital image processingvilasini rvr
 
Digital Image Processing presentation
Digital Image Processing presentationDigital Image Processing presentation
Digital Image Processing presentationOmkarDattatrayKanase
 
Dip unit-i-ppt academic year(2016-17)
Dip unit-i-ppt academic year(2016-17)Dip unit-i-ppt academic year(2016-17)
Dip unit-i-ppt academic year(2016-17)RagavanK6
 
Basics of digital image processing
Basics of digital image  processingBasics of digital image  processing
Basics of digital image processingzahid6
 
ARKA RAJ SAHA-27332020003..pptx
ARKA RAJ SAHA-27332020003..pptxARKA RAJ SAHA-27332020003..pptx
ARKA RAJ SAHA-27332020003..pptxAdharchandsaha
 
Basics of Computer Graphics
Basics of Computer GraphicsBasics of Computer Graphics
Basics of Computer Graphicsmohitrajpanday1
 
DIPsadasdasfsdfsdfdfasdfsdfsdgsdgdsfgdfgfdg
DIPsadasdasfsdfsdfdfasdfsdfsdgsdgdsfgdfgfdgDIPsadasdasfsdfsdfdfasdfsdfsdgsdgdsfgdfgfdg
DIPsadasdasfsdfsdfdfasdfsdfsdgsdgdsfgdfgfdgMrVMNair
 
Metric Oblique Imagery Technology
Metric Oblique Imagery TechnologyMetric Oblique Imagery Technology
Metric Oblique Imagery TechnologyRobert Carroll
 
ImageProcessing1-Introduction.ppt
ImageProcessing1-Introduction.pptImageProcessing1-Introduction.ppt
ImageProcessing1-Introduction.pptShabanamTamboli1
 
Image processing1 introduction
Image processing1 introductionImage processing1 introduction
Image processing1 introductionshabanam tamboli
 

Semelhante a DIGITAL IMAGE PROCESSING (20)

1. digital image processing
1. digital image processing1. digital image processing
1. digital image processing
 
1_unit-1.1_Introduction to DIP.pptx
1_unit-1.1_Introduction to DIP.pptx1_unit-1.1_Introduction to DIP.pptx
1_unit-1.1_Introduction to DIP.pptx
 
Digital Image Processing presentation
Digital Image Processing presentationDigital Image Processing presentation
Digital Image Processing presentation
 
Dip unit-i-ppt academic year(2016-17)
Dip unit-i-ppt academic year(2016-17)Dip unit-i-ppt academic year(2016-17)
Dip unit-i-ppt academic year(2016-17)
 
CG Lecture0.pptx
CG Lecture0.pptxCG Lecture0.pptx
CG Lecture0.pptx
 
Lec_1_Introduction.pdf
Lec_1_Introduction.pdfLec_1_Introduction.pdf
Lec_1_Introduction.pdf
 
Lec_1_Introduction.pdf
Lec_1_Introduction.pdfLec_1_Introduction.pdf
Lec_1_Introduction.pdf
 
Basics of digital image processing
Basics of digital image  processingBasics of digital image  processing
Basics of digital image processing
 
Digital image processing
Digital image processingDigital image processing
Digital image processing
 
ARKA RAJ SAHA-27332020003..pptx
ARKA RAJ SAHA-27332020003..pptxARKA RAJ SAHA-27332020003..pptx
ARKA RAJ SAHA-27332020003..pptx
 
Basics of Computer Graphics
Basics of Computer GraphicsBasics of Computer Graphics
Basics of Computer Graphics
 
DIPsadasdasfsdfsdfdfasdfsdfsdgsdgdsfgdfgfdg
DIPsadasdasfsdfsdfdfasdfsdfsdgsdgdsfgdfgfdgDIPsadasdasfsdfsdfdfasdfsdfsdgsdgdsfgdfgfdg
DIPsadasdasfsdfsdfdfasdfsdfsdgsdgdsfgdfgfdg
 
Introduction to Medical Imaging
Introduction to Medical ImagingIntroduction to Medical Imaging
Introduction to Medical Imaging
 
Chap1
Chap1Chap1
Chap1
 
Metric Oblique Imagery Technology
Metric Oblique Imagery TechnologyMetric Oblique Imagery Technology
Metric Oblique Imagery Technology
 
Chapter01 Lecture 1.ppt
Chapter01 Lecture 1.pptChapter01 Lecture 1.ppt
Chapter01 Lecture 1.ppt
 
Chapter01 lecture 1
Chapter01 lecture 1Chapter01 lecture 1
Chapter01 lecture 1
 
ImageProcessing1-Introduction.ppt
ImageProcessing1-Introduction.pptImageProcessing1-Introduction.ppt
ImageProcessing1-Introduction.ppt
 
Image processing1 introduction
Image processing1 introductionImage processing1 introduction
Image processing1 introduction
 
chap1.ppt
chap1.pptchap1.ppt
chap1.ppt
 

Mais de KarthicaMarasamy

Mais de KarthicaMarasamy (13)

Roles of Datascience.pptx
Roles of Datascience.pptxRoles of Datascience.pptx
Roles of Datascience.pptx
 
DATASCIENCE.pptx
DATASCIENCE.pptxDATASCIENCE.pptx
DATASCIENCE.pptx
 
Software Testing 1.pptx
Software Testing 1.pptxSoftware Testing 1.pptx
Software Testing 1.pptx
 
powerpoint 1.pdf
powerpoint 1.pdfpowerpoint 1.pdf
powerpoint 1.pdf
 
class 3.pptx
class 3.pptxclass 3.pptx
class 3.pptx
 
class 2.pptx
class 2.pptxclass 2.pptx
class 2.pptx
 
Software Testing
Software TestingSoftware Testing
Software Testing
 
Network (Hub,switches)
Network  (Hub,switches)Network  (Hub,switches)
Network (Hub,switches)
 
Computer network layers
Computer network layersComputer network layers
Computer network layers
 
Presentation more c_programmingcharacter_and_string_handling_
Presentation more c_programmingcharacter_and_string_handling_Presentation more c_programmingcharacter_and_string_handling_
Presentation more c_programmingcharacter_and_string_handling_
 
C programming
C programmingC programming
C programming
 
Fundamentals steps in Digital Image processing
Fundamentals steps in Digital Image processingFundamentals steps in Digital Image processing
Fundamentals steps in Digital Image processing
 
Network
NetworkNetwork
Network
 

Último

Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...christianmathematics
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
General AI for Medical Educators April 2024
General AI for Medical Educators April 2024General AI for Medical Educators April 2024
General AI for Medical Educators April 2024Janet Corral
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhikauryashika82
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpinRaunakKeshri1
 
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...Sapna Thakur
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Disha Kariya
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactPECB
 

Último (20)

Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
General AI for Medical Educators April 2024
General AI for Medical Educators April 2024General AI for Medical Educators April 2024
General AI for Medical Educators April 2024
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpin
 
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Advance Mobile Application Development class 07
Advance Mobile Application Development class 07Advance Mobile Application Development class 07
Advance Mobile Application Development class 07
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 

DIGITAL IMAGE PROCESSING

  • 1. “ONE PICTURE IS WORTH MORE THAN TEN THOUSAND WORDS” MK(06/07/2020)
  • 3. INTRODUCTION WHAT IS DIGITAL IMAGE PROCESSING?  An image may be defined as a two –dimensional function,f(x,y)  X and Y are spatial(plane) coordinates.  Amplitude of f at any pair of coordinates(x,y)is called the intensity or gray level of the image at the point.  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. MK(06/07/2020)
  • 4. A digital image is a representation of a two –dimensional image as a finite set of digital values , called picture elements or pixels. MK(06/07/2020)
  • 5. ORIGIN OF DIP • Early 1920s: one of the first application of digital imaging was in the newspaper industry. • The Bartlane cable picture transmission service • Image were transferred by submarine cable between London and New York. • Pictures were coded for cable transfer and reconstructed at the receiving end on a telegraph printer. MK(06/07/2020)
  • 7. • Improvements to the Bartlane system resulted in higher qualityimages. • New reproduction processes based on photographic techniques. • Increased number of tones in reproduced images. MK(06/07/2020)
  • 8. • 1960s:improvements in computing technology and the onset of the space race led to a surge of work in digital image processing. • 1964:computers used to improve the quality of images of the moon taken by the range 7 probe. • Such techniques were used in other space missions including the apollo landings. MK(06/07/2020)
  • 9. • 1970s:Digital image processing begins to be used in medical applications. • 1979:Sirgodfrey 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. MK(06/07/2020)
  • 10. • Now a days :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 visualization • Industrial inspection • Law enforcement • Human computer interfaces. MK(06/07/2020)
  • 13. ARTISTICS EFFECTS • Artistics effects are used to make images more visually appealing, to add special effects and to make composite images. MK(06/07/2020)
  • 15. INDUSTRIAL INSPECTION • Human operators are expensive ,slow and unreliable. • Make machine do the job instead • Industrial vision system are used in all kinds of industries. MK(06/07/2020)
  • 16. LAW ENFORCEMENT • Image processing techiques are used extensively by law enforcers. • Number plate recoginition for speed cameras/automated toll systems • Fingerprint recognition • Enhancement of CCTV images. MK(06/07/2020)
  • 34. COMPONENTS OF AN IMAGE PROCESSING SYSTEM MK(06/07/2020)