SlideShare a Scribd company logo
Indentify?
Joseph Nicéphore Niépce,
View from the Window at Le Gras, c. 1826
"The World's First Photograph"
Harry Ransom Humanities Research Center
The University of Texas at Austin
All Images are taken from Internet
and Gonzalez DIP Book
This PPT is use for Academic
Purpose Only
Disclaimer:
All images are copyright to
their respective owners
One Picture is worth more than Ten
Thousand words
-Anonymous
Digital Image Processing
&
Pattern Recognition
Kalyan Acharjya
kalyan5.blogspot.in
Lecture 1-2
Unit 1-Part 1
Syllabus
1. Unit 1: Introduction (Imaging & Components)
2. Unit 2: Digital Image Fundamentals
3. Unit 3: Image Enhancement (Spatial)
4. Unit 4: Image Restoration
5. Unit 5: Image Compression
Books
Text Book
Digital Image Processing
By Gonzalez
Pearson Publication
Reference Book:
Jain, A. K., "Fundamentals of Digital Image
Processing", PHI Learning, 1st Ed.
Unit 1
First Chapter of Gonzalez Book
DIPR Terms
• Image Processing
– Low Level (Primary Operations)
– Mid Level (Segmentation or Partitioning)
– High Level (Cognitive Functions, Vision, Pattern
Recognition)
• Image Analysis
• Image Understanding
• Computer Vision
Image?
Imaging?
Brain Image
*USC scientists Arthur Toga, Paul Thompson are on the cutting edge of brain
mapping
Brain Waves Experiment: Brain Mapping
Bio-Metrics
Fields that use Digital Image
Processing?
• Answer is….Everywhere (Almost)
• Today, there is almost no area of technical
endeavor that is not impacted in some way by
DIGITAL IMAGE PROCESSING.
Why Digital Image Processing?
• Principal Applications Areas-
– Improvement of pictorial information for human
interpretations
– Processing of image data for storage,
transmission and representation for autonomous
machine/computer perception.
Weeks 1 & 2 25
Image Formation
Eye-natural Camera: Its Limitations
Electromagnetic Spectrum
Electromagnetic Waves
Various Types of Imaging Modalities
• Gamma Ray Imaging
• X Ray Imaging
• Imaging in Ultraviolet Band
• Imaging in Visible Band ….
• IR Band
• Imaging in Radio Band
Many more…
Gamma Ray
Imaging
• Nuclear Medicine
• Astronomical Observations
X-Ray Imaging
CT Scan-Medical X-ray
Ultra Violet Imaging
Applications:
Lithography
Industrial
Inspection
Microscopy
Laser
Biological Imaging
Astronomical
Observations
Visible and IR Imaging
Light Microscopy
Astronomy
Remote Sensing
Night Vision
Industry
Law and Enforcement
Imaging: Microwave and Radio Band
• Continuous quality control offers
an advantage in terms of process
safety in liquids as well as solids.
The microwave imaging therefore
guarantees for quick and safe
monitoring and reduces the
rejects rate in production
All Imaging Modalities
Be Aware?
Be Aware?
Other Imaging Modalities
• Acoustic Imaging: Imaging Using Sound
– Geological Exploration
– Medicine & Industry
• Electron Microscopy
• Synthetic (Computer generated Imaging)
Ultra-Sound
Imaging
Thank You
for
Your Kind Attention
This PPT is available at kalyan5.blogspot.in
For Feedback Kindly visit
https://goo.gl/iPviBm

More Related Content

What's hot

What's hot (20)

Digital Image Processing
Digital Image ProcessingDigital Image Processing
Digital Image Processing
 
introduction to Digital Image Processing
introduction to Digital Image Processingintroduction to Digital Image Processing
introduction to Digital Image Processing
 
Image Processing and Computer Vision
Image Processing and Computer VisionImage Processing and Computer Vision
Image Processing and Computer Vision
 
Digital Image Processing: Image Segmentation
Digital Image Processing: Image SegmentationDigital Image Processing: Image Segmentation
Digital Image Processing: Image Segmentation
 
image compression ppt
image compression pptimage compression ppt
image compression ppt
 
Image Segmentation (Digital Image Processing)
Image Segmentation (Digital Image Processing)Image Segmentation (Digital Image Processing)
Image Segmentation (Digital Image Processing)
 
Biomedical image processing ppt
Biomedical image processing pptBiomedical image processing ppt
Biomedical image processing ppt
 
Digital Image Fundamentals
Digital Image FundamentalsDigital Image Fundamentals
Digital Image Fundamentals
 
Application of image processing
Application of image processingApplication of image processing
Application of image processing
 
Introduction to digital image processing
Introduction to digital image processingIntroduction to digital image processing
Introduction to digital image processing
 
Chapter10 image segmentation
Chapter10 image segmentationChapter10 image segmentation
Chapter10 image segmentation
 
Digital Image Processing: An Introduction
Digital Image Processing: An IntroductionDigital Image Processing: An Introduction
Digital Image Processing: An Introduction
 
Image processing second unit Notes
Image processing second unit NotesImage processing second unit Notes
Image processing second unit Notes
 
Segmentation
SegmentationSegmentation
Segmentation
 
Image Segmentation using Otsu's Method - Computer Graphics (UCS505) Project PPT
Image Segmentation using Otsu's Method - Computer Graphics (UCS505) Project PPTImage Segmentation using Otsu's Method - Computer Graphics (UCS505) Project PPT
Image Segmentation using Otsu's Method - Computer Graphics (UCS505) Project PPT
 
Image Acquisition and Representation
Image Acquisition and RepresentationImage Acquisition and Representation
Image Acquisition and Representation
 
Otsu binarization
Otsu binarizationOtsu binarization
Otsu binarization
 
Edge Detection and Segmentation
Edge Detection and SegmentationEdge Detection and Segmentation
Edge Detection and Segmentation
 
Image processing presentation
Image processing presentationImage processing presentation
Image processing presentation
 
Lect 02 first portion
Lect 02   first portionLect 02   first portion
Lect 02 first portion
 

Similar to Introduction to Image Processing:Image Modalities

Weeks 1 Introductions_V1_1.ppt
Weeks 1 Introductions_V1_1.pptWeeks 1 Introductions_V1_1.ppt
Weeks 1 Introductions_V1_1.ppt
ssusera0a371
 

Similar to Introduction to Image Processing:Image Modalities (20)

Dip lect1-sent
Dip lect1-sentDip lect1-sent
Dip lect1-sent
 
Anits dip
Anits dipAnits dip
Anits dip
 
Chap_1_Digital_Image_Fundamentals_DD (2).pdf
Chap_1_Digital_Image_Fundamentals_DD (2).pdfChap_1_Digital_Image_Fundamentals_DD (2).pdf
Chap_1_Digital_Image_Fundamentals_DD (2).pdf
 
Weeks 1 Introductions_V1_1.ppt
Weeks 1 Introductions_V1_1.pptWeeks 1 Introductions_V1_1.ppt
Weeks 1 Introductions_V1_1.ppt
 
Introduction talk to Computer Vision
Introduction talk to Computer Vision Introduction talk to Computer Vision
Introduction talk to Computer Vision
 
Weeks 1 Introductions_V1_2.ppt
Weeks 1 Introductions_V1_2.pptWeeks 1 Introductions_V1_2.ppt
Weeks 1 Introductions_V1_2.ppt
 
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
 
Module 1
Module 1Module 1
Module 1
 
Pattern recognition in medical images
Pattern recognition in medical imagesPattern recognition in medical images
Pattern recognition in medical images
 
Image recognition
Image recognitionImage recognition
Image recognition
 
Image processing ppt
Image processing pptImage processing ppt
Image processing ppt
 
Ndtm 5
Ndtm 5Ndtm 5
Ndtm 5
 
3D visualisation of medical images
3D visualisation of medical images3D visualisation of medical images
3D visualisation of medical images
 
CSE367 Lecture 1 image processing lecture
CSE367 Lecture 1 image processing lectureCSE367 Lecture 1 image processing lecture
CSE367 Lecture 1 image processing lecture
 
Image processing.pptx
Image processing.pptxImage processing.pptx
Image processing.pptx
 
Sub ecs 702_30sep14
Sub ecs 702_30sep14Sub ecs 702_30sep14
Sub ecs 702_30sep14
 
EC4160-lect 1,2.ppt
EC4160-lect 1,2.pptEC4160-lect 1,2.ppt
EC4160-lect 1,2.ppt
 
Lec2: Digital Images and Medical Imaging Modalities
Lec2: Digital Images and Medical Imaging ModalitiesLec2: Digital Images and Medical Imaging Modalities
Lec2: Digital Images and Medical Imaging Modalities
 
DIP PPT (1).pptx
DIP PPT (1).pptxDIP PPT (1).pptx
DIP PPT (1).pptx
 
ImageProcessing1-Introduction.ppt
ImageProcessing1-Introduction.pptImageProcessing1-Introduction.ppt
ImageProcessing1-Introduction.ppt
 

More from Kalyan Acharjya

More from Kalyan Acharjya (20)

Introduction to Image Compression
Introduction to Image CompressionIntroduction to Image Compression
Introduction to Image Compression
 
Introduction to Image Compression
Introduction to Image CompressionIntroduction to Image Compression
Introduction to Image Compression
 
Image Restoration (Frequency Domain Filters):Basics
Image Restoration (Frequency Domain Filters):BasicsImage Restoration (Frequency Domain Filters):Basics
Image Restoration (Frequency Domain Filters):Basics
 
Image Restoration (Order Statistics Filters)
Image Restoration (Order Statistics Filters)Image Restoration (Order Statistics Filters)
Image Restoration (Order Statistics Filters)
 
Spatial Filters (Digital Image Processing)
Spatial Filters (Digital Image Processing)Spatial Filters (Digital Image Processing)
Spatial Filters (Digital Image Processing)
 
Histogram Specification or Matching Problem
Histogram Specification or Matching ProblemHistogram Specification or Matching Problem
Histogram Specification or Matching Problem
 
Histogram Equalization
Histogram EqualizationHistogram Equalization
Histogram Equalization
 
Digital Image Fundamentals
Digital Image FundamentalsDigital Image Fundamentals
Digital Image Fundamentals
 
Electron Microscopy (SEM & TEM)
Electron Microscopy (SEM & TEM)Electron Microscopy (SEM & TEM)
Electron Microscopy (SEM & TEM)
 
Stick Diagram
Stick DiagramStick Diagram
Stick Diagram
 
Hypothesis Testing
Hypothesis TestingHypothesis Testing
Hypothesis Testing
 
Photodetector (Photodiode)
Photodetector (Photodiode)Photodetector (Photodiode)
Photodetector (Photodiode)
 
Fiber fabrication
Fiber fabricationFiber fabrication
Fiber fabrication
 
Fiber End Preparations & Splicing
Fiber End Preparations & SplicingFiber End Preparations & Splicing
Fiber End Preparations & Splicing
 
Connector losses Optical Fiber Cable
Connector losses Optical Fiber CableConnector losses Optical Fiber Cable
Connector losses Optical Fiber Cable
 
Introduction to VLSI Design
Introduction to VLSI DesignIntroduction to VLSI Design
Introduction to VLSI Design
 
Guidlines for ppt Design
Guidlines for ppt DesignGuidlines for ppt Design
Guidlines for ppt Design
 
B.Tech Seminar schedule dates 8 EC B2 2016
B.Tech Seminar schedule dates 8 EC B2 2016B.Tech Seminar schedule dates 8 EC B2 2016
B.Tech Seminar schedule dates 8 EC B2 2016
 
Face recognition Face Identification
Face recognition Face IdentificationFace recognition Face Identification
Face recognition Face Identification
 
Internship Presentation B.Tech Communication Networks
Internship Presentation B.Tech Communication NetworksInternship Presentation B.Tech Communication Networks
Internship Presentation B.Tech Communication Networks
 

Recently uploaded

Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
Neometrix_Engineering_Pvt_Ltd
 
Digital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdfDigital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdf
AbrahamGadissa
 
RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical SolutionsRS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
Atif Razi
 

Recently uploaded (20)

İTÜ CAD and Reverse Engineering Workshop
İTÜ CAD and Reverse Engineering WorkshopİTÜ CAD and Reverse Engineering Workshop
İTÜ CAD and Reverse Engineering Workshop
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
 
Digital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdfDigital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdf
 
Architectural Portfolio Sean Lockwood
Architectural Portfolio Sean LockwoodArchitectural Portfolio Sean Lockwood
Architectural Portfolio Sean Lockwood
 
The Ultimate Guide to External Floating Roofs for Oil Storage Tanks.docx
The Ultimate Guide to External Floating Roofs for Oil Storage Tanks.docxThe Ultimate Guide to External Floating Roofs for Oil Storage Tanks.docx
The Ultimate Guide to External Floating Roofs for Oil Storage Tanks.docx
 
Pharmacy management system project report..pdf
Pharmacy management system project report..pdfPharmacy management system project report..pdf
Pharmacy management system project report..pdf
 
Cloud-Computing_CSE311_Computer-Networking CSE GUB BD - Shahidul.pptx
Cloud-Computing_CSE311_Computer-Networking CSE GUB BD - Shahidul.pptxCloud-Computing_CSE311_Computer-Networking CSE GUB BD - Shahidul.pptx
Cloud-Computing_CSE311_Computer-Networking CSE GUB BD - Shahidul.pptx
 
NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...
NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...
NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...
 
Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.
 
Top 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering ScientistTop 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering Scientist
 
KIT-601 Lecture Notes-UNIT-4.pdf Frequent Itemsets and Clustering
KIT-601 Lecture Notes-UNIT-4.pdf Frequent Itemsets and ClusteringKIT-601 Lecture Notes-UNIT-4.pdf Frequent Itemsets and Clustering
KIT-601 Lecture Notes-UNIT-4.pdf Frequent Itemsets and Clustering
 
The Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdfThe Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdf
 
KIT-601 Lecture Notes-UNIT-3.pdf Mining Data Stream
KIT-601 Lecture Notes-UNIT-3.pdf Mining Data StreamKIT-601 Lecture Notes-UNIT-3.pdf Mining Data Stream
KIT-601 Lecture Notes-UNIT-3.pdf Mining Data Stream
 
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical EngineeringIntroduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
 
RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical SolutionsRS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
 
Immunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary AttacksImmunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary Attacks
 
KIT-601 Lecture Notes-UNIT-5.pdf Frame Works and Visualization
KIT-601 Lecture Notes-UNIT-5.pdf Frame Works and VisualizationKIT-601 Lecture Notes-UNIT-5.pdf Frame Works and Visualization
KIT-601 Lecture Notes-UNIT-5.pdf Frame Works and Visualization
 
2024 DevOps Pro Europe - Growing at the edge
2024 DevOps Pro Europe - Growing at the edge2024 DevOps Pro Europe - Growing at the edge
2024 DevOps Pro Europe - Growing at the edge
 
HYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationHYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generation
 
Event Management System Vb Net Project Report.pdf
Event Management System Vb Net  Project Report.pdfEvent Management System Vb Net  Project Report.pdf
Event Management System Vb Net Project Report.pdf
 

Introduction to Image Processing:Image Modalities