SlideShare une entreprise Scribd logo
1  sur  1
Télécharger pour lire hors ligne
Roll No.
                        Guru Nanak Education Trust Group of Institution
                                              Digital Image Processing (TEC-024)
                                                    1st Sessional Examination 2012-13
                                                          B.Tech (ECE) Final Year
Attempt any Three Questions. Each Question Carry equal marks                                                                                                    M.M. 30
Write down your Roll No on the Question paper.                                                                                                                  Time: 1.00 Hr
     1. What are the fundamental steps we use in Digital Image Processing? Explain in detail with
        neat diagram.
     2. What do you mean by color model?
     3. Explain One Dimensional Discrete Fourier Transform and its properties.
     4. (a) Consider the two image subsets, S1 & S2 shown in the following figure. For V = { 1 },
        Determine whether these two subsets are
           i.   4-adjacent                     ii.   8-adjacent                     iii.  m-adjacent
                                                     or




          (b) Consider the image segment shown
             i.   Let V = { 0 , 1 } and compute the lengths of shortest 4- , 8- and m- path between p
                  and q , if a particular path does not exist between these two points explain why.
            ii.   Repeat for V = { 1 , 2 }




                                                                      Read every Question completely and then attempt it in correct manner. All the Best
          -------------------------------------------------------------------------------------------------------------------------------------------------------------------------


                                                                                                                          Roll No.
                        Guru Nanak Education Trust Group of Institution
                                              Digital Image Processing (TEC-024)
                                                    1st Sessional Examination 2012-13
                                                          B.Tech (ECE) Final Year
Attempt any Three Questions. Each Question Carry equal marks                                                                                                    M.M. 30
Write down your Roll No on the Question paper.                                                                                                                  Time: 1.00 Hr
     1. What are the fundamental steps we use in Digital Image Processing? Explain in detail with
        neat diagram.
     2. What do you mean by color model?
     3. Explain One Dimensional Discrete Fourier Transform and its properties.
     4. (a) Consider the two image subsets, S1 & S2 shown in the following figure. For V = { 1 },
        Determine whether these two subsets are
           i.   4-adjacent                     ii.   8-adjacent                     iii.  m-adjacent
                                                     or




          (b) Consider the image segment shown
             i.   Let V = { 0 , 1 } and compute the lengths of shortest 4- , 8- and m- path between p
                  and q , if a particular path does not exist between these two points explain why.
            ii.   Repeat for V = { 1 , 2 }




                                                                     Read every Question completely and then attempt it in correct manner. All the Best

Contenu connexe

Tendances

Exam matlab1
Exam matlab1Exam matlab1
Exam matlab1
moness
 
A review of automatic differentiationand its efficient implementation
A review of automatic differentiationand its efficient implementationA review of automatic differentiationand its efficient implementation
A review of automatic differentiationand its efficient implementation
ssuserfa7e73
 
An Interactive Decomposition Algorithm for Two-Level Large Scale Linear Multi...
An Interactive Decomposition Algorithm for Two-Level Large Scale Linear Multi...An Interactive Decomposition Algorithm for Two-Level Large Scale Linear Multi...
An Interactive Decomposition Algorithm for Two-Level Large Scale Linear Multi...
IJERA Editor
 

Tendances (19)

Exam matlab1
Exam matlab1Exam matlab1
Exam matlab1
 
Bscit spring driveassignments
Bscit spring driveassignmentsBscit spring driveassignments
Bscit spring driveassignments
 
Certified global minima
Certified global minimaCertified global minima
Certified global minima
 
A review of automatic differentiationand its efficient implementation
A review of automatic differentiationand its efficient implementationA review of automatic differentiationand its efficient implementation
A review of automatic differentiationand its efficient implementation
 
Face recognition using LDA
Face recognition using LDAFace recognition using LDA
Face recognition using LDA
 
Fuzzy image processing- fuzzy C-mean clustering
Fuzzy image processing- fuzzy C-mean clusteringFuzzy image processing- fuzzy C-mean clustering
Fuzzy image processing- fuzzy C-mean clustering
 
SMU BCA SUMMER 2014 ASSIGNMENTS
SMU BCA SUMMER 2014 ASSIGNMENTSSMU BCA SUMMER 2014 ASSIGNMENTS
SMU BCA SUMMER 2014 ASSIGNMENTS
 
Performance Evaluation of Object Tracking Technique Based on Position Vectors
Performance Evaluation of Object Tracking Technique Based on Position VectorsPerformance Evaluation of Object Tracking Technique Based on Position Vectors
Performance Evaluation of Object Tracking Technique Based on Position Vectors
 
A Methodology for Classifying Visitors to an Amusement Park VAST Challenge 20...
A Methodology for Classifying Visitors to an Amusement Park VAST Challenge 20...A Methodology for Classifying Visitors to an Amusement Park VAST Challenge 20...
A Methodology for Classifying Visitors to an Amusement Park VAST Challenge 20...
 
H045064549
H045064549H045064549
H045064549
 
Support Vector Machines (SVM)
Support Vector Machines (SVM)Support Vector Machines (SVM)
Support Vector Machines (SVM)
 
Smu bscit sem 2 fall 2014 assignments
Smu bscit sem 2 fall 2014 assignmentsSmu bscit sem 2 fall 2014 assignments
Smu bscit sem 2 fall 2014 assignments
 
Noise tolerant color image segmentation using support vector machine
Noise tolerant color image segmentation using support vector machineNoise tolerant color image segmentation using support vector machine
Noise tolerant color image segmentation using support vector machine
 
An Interactive Decomposition Algorithm for Two-Level Large Scale Linear Multi...
An Interactive Decomposition Algorithm for Two-Level Large Scale Linear Multi...An Interactive Decomposition Algorithm for Two-Level Large Scale Linear Multi...
An Interactive Decomposition Algorithm for Two-Level Large Scale Linear Multi...
 
OOPSLA04.ppt
OOPSLA04.pptOOPSLA04.ppt
OOPSLA04.ppt
 
Tracking Faces using Active Appearance Models
Tracking Faces using Active Appearance ModelsTracking Faces using Active Appearance Models
Tracking Faces using Active Appearance Models
 
495Poster
495Poster495Poster
495Poster
 
Simulated Annealing Algorithm for VLSI Floorplanning for Soft Blocks
Simulated Annealing Algorithm for VLSI Floorplanning for Soft BlocksSimulated Annealing Algorithm for VLSI Floorplanning for Soft Blocks
Simulated Annealing Algorithm for VLSI Floorplanning for Soft Blocks
 
Mb 106 quantitative techniques 6
Mb 106 quantitative techniques 6Mb 106 quantitative techniques 6
Mb 106 quantitative techniques 6
 

Similaire à Digital Image Processing Mar 2013

Mathematics and ComputingScienceTechnologyMST209 Mathemati.docx
Mathematics and ComputingScienceTechnologyMST209 Mathemati.docxMathematics and ComputingScienceTechnologyMST209 Mathemati.docx
Mathematics and ComputingScienceTechnologyMST209 Mathemati.docx
andreecapon
 
C O M P U T E R G R A P H I C S J N T U M O D E L P A P E R{Www
C O M P U T E R  G R A P H I C S  J N T U  M O D E L  P A P E R{WwwC O M P U T E R  G R A P H I C S  J N T U  M O D E L  P A P E R{Www
C O M P U T E R G R A P H I C S J N T U M O D E L P A P E R{Www
guest3f9c6b
 
Computer Graphics Jntu Model Paper{Www.Studentyogi.Com}
Computer Graphics Jntu Model Paper{Www.Studentyogi.Com}Computer Graphics Jntu Model Paper{Www.Studentyogi.Com}
Computer Graphics Jntu Model Paper{Www.Studentyogi.Com}
guest3f9c6b
 
D E S I G N A N D A N A L Y S I S O F A L G O R I T H M S J N T U M O D E L...
D E S I G N A N D A N A L Y S I S O F A L G O R I T H M S  J N T U  M O D E L...D E S I G N A N D A N A L Y S I S O F A L G O R I T H M S  J N T U  M O D E L...
D E S I G N A N D A N A L Y S I S O F A L G O R I T H M S J N T U M O D E L...
guest3f9c6b
 
Third sem sample paper of 3 d animation – i bsca009
Third sem sample paper of 3 d animation – i bsca009Third sem sample paper of 3 d animation – i bsca009
Third sem sample paper of 3 d animation – i bsca009
paiils111
 

Similaire à Digital Image Processing Mar 2013 (20)

Analog Communication Mar 2013
Analog Communication Mar 2013Analog Communication Mar 2013
Analog Communication Mar 2013
 
Mathematics s-a-ii-class-ix-2012-13
Mathematics s-a-ii-class-ix-2012-13Mathematics s-a-ii-class-ix-2012-13
Mathematics s-a-ii-class-ix-2012-13
 
☆中高考综合报告[英]
☆中高考综合报告[英]☆中高考综合报告[英]
☆中高考综合报告[英]
 
Mathematics and ComputingScienceTechnologyMST209 Mathemati.docx
Mathematics and ComputingScienceTechnologyMST209 Mathemati.docxMathematics and ComputingScienceTechnologyMST209 Mathemati.docx
Mathematics and ComputingScienceTechnologyMST209 Mathemati.docx
 
F I N I T E E L E M E N T M E T H O D S J N T U M O D E L P A P E R{Www
F I N I T E  E L E M E N T  M E T H O D S  J N T U  M O D E L  P A P E R{WwwF I N I T E  E L E M E N T  M E T H O D S  J N T U  M O D E L  P A P E R{Www
F I N I T E E L E M E N T M E T H O D S J N T U M O D E L P A P E R{Www
 
Bca1040 digital logic
Bca1040   digital logicBca1040   digital logic
Bca1040 digital logic
 
Tenth class-state syllabus-model paper-em-ap-mathematics
Tenth class-state syllabus-model paper-em-ap-mathematicsTenth class-state syllabus-model paper-em-ap-mathematics
Tenth class-state syllabus-model paper-em-ap-mathematics
 
MATH MODULE GRADE 8
MATH MODULE GRADE 8MATH MODULE GRADE 8
MATH MODULE GRADE 8
 
MATH MODULE GRADE 8
MATH MODULE GRADE 8MATH MODULE GRADE 8
MATH MODULE GRADE 8
 
K to 12 - Grade 8 Math Learners Module Quarter 2
K to 12 - Grade  8 Math Learners Module Quarter 2K to 12 - Grade  8 Math Learners Module Quarter 2
K to 12 - Grade 8 Math Learners Module Quarter 2
 
C O M P U T E R G R A P H I C S J N T U M O D E L P A P E R{Www
C O M P U T E R  G R A P H I C S  J N T U  M O D E L  P A P E R{WwwC O M P U T E R  G R A P H I C S  J N T U  M O D E L  P A P E R{Www
C O M P U T E R G R A P H I C S J N T U M O D E L P A P E R{Www
 
Computer Graphics Jntu Model Paper{Www.Studentyogi.Com}
Computer Graphics Jntu Model Paper{Www.Studentyogi.Com}Computer Graphics Jntu Model Paper{Www.Studentyogi.Com}
Computer Graphics Jntu Model Paper{Www.Studentyogi.Com}
 
Aerospace Engineering (AE) - Gate Previous Question Paper 2011 Download
Aerospace Engineering (AE) - Gate Previous Question Paper 2011 DownloadAerospace Engineering (AE) - Gate Previous Question Paper 2011 Download
Aerospace Engineering (AE) - Gate Previous Question Paper 2011 Download
 
3rd Semester Computer Science and Engineering (ACU) Question papers
3rd Semester Computer Science and Engineering  (ACU) Question papers3rd Semester Computer Science and Engineering  (ACU) Question papers
3rd Semester Computer Science and Engineering (ACU) Question papers
 
Flipped class design for cad rca2 s.dharani kumar
Flipped class design for cad  rca2  s.dharani kumarFlipped class design for cad  rca2  s.dharani kumar
Flipped class design for cad rca2 s.dharani kumar
 
D E S I G N A N D A N A L Y S I S O F A L G O R I T H M S J N T U M O D E L...
D E S I G N A N D A N A L Y S I S O F A L G O R I T H M S  J N T U  M O D E L...D E S I G N A N D A N A L Y S I S O F A L G O R I T H M S  J N T U  M O D E L...
D E S I G N A N D A N A L Y S I S O F A L G O R I T H M S J N T U M O D E L...
 
Contextualized Lesson Plan in Math 8 Graphs of Linear Equations using Intercepts
Contextualized Lesson Plan in Math 8 Graphs of Linear Equations using InterceptsContextualized Lesson Plan in Math 8 Graphs of Linear Equations using Intercepts
Contextualized Lesson Plan in Math 8 Graphs of Linear Equations using Intercepts
 
Bsca009
Bsca009Bsca009
Bsca009
 
Third sem sample paper of 3 d animation – i bsca009
Third sem sample paper of 3 d animation – i bsca009Third sem sample paper of 3 d animation – i bsca009
Third sem sample paper of 3 d animation – i bsca009
 
Third sem sample paper of 3 d animation – i bsca009
Third sem sample paper of 3 d animation – i bsca009Third sem sample paper of 3 d animation – i bsca009
Third sem sample paper of 3 d animation – i bsca009
 

Plus de Paramjeet Singh Jamwal

Plus de Paramjeet Singh Jamwal (20)

Introduction to MATLAB - I
Introduction to MATLAB - IIntroduction to MATLAB - I
Introduction to MATLAB - I
 
Fundamentals of Electric Drives - Electric Drives
Fundamentals of Electric Drives - Electric DrivesFundamentals of Electric Drives - Electric Drives
Fundamentals of Electric Drives - Electric Drives
 
DC Network Theory - Basic Electrical Engineering
DC Network Theory - Basic Electrical EngineeringDC Network Theory - Basic Electrical Engineering
DC Network Theory - Basic Electrical Engineering
 
Virtual Instrumentation and Data Acquisition - PGICE - 2013
Virtual Instrumentation and Data Acquisition - PGICE - 2013Virtual Instrumentation and Data Acquisition - PGICE - 2013
Virtual Instrumentation and Data Acquisition - PGICE - 2013
 
Reliability Engineering - PGICE - 2013
Reliability Engineering - PGICE - 2013Reliability Engineering - PGICE - 2013
Reliability Engineering - PGICE - 2013
 
Reliability Engineering - PGICE - 2012
Reliability Engineering - PGICE - 2012Reliability Engineering - PGICE - 2012
Reliability Engineering - PGICE - 2012
 
Introduction to Filters under labVIEW Environment
Introduction to Filters under labVIEW EnvironmentIntroduction to Filters under labVIEW Environment
Introduction to Filters under labVIEW Environment
 
Medical Image Compression
Medical Image CompressionMedical Image Compression
Medical Image Compression
 
Non Linear and Adaptive Control System JAN 2014
Non Linear and Adaptive Control System JAN 2014Non Linear and Adaptive Control System JAN 2014
Non Linear and Adaptive Control System JAN 2014
 
Microcontroller and Embedded System JAN 2014
Microcontroller and Embedded System JAN 2014Microcontroller and Embedded System JAN 2014
Microcontroller and Embedded System JAN 2014
 
Instrumentation System Design JAN 2014
Instrumentation System Design JAN 2014Instrumentation System Design JAN 2014
Instrumentation System Design JAN 2014
 
Instrumentation System Design | Assignment
Instrumentation System Design | AssignmentInstrumentation System Design | Assignment
Instrumentation System Design | Assignment
 
Digital signal processing JAN 2014
Digital signal processing JAN 2014Digital signal processing JAN 2014
Digital signal processing JAN 2014
 
Introduction to toolbox under matlab environment
Introduction to toolbox under matlab environmentIntroduction to toolbox under matlab environment
Introduction to toolbox under matlab environment
 
Cardiovascular System
Cardiovascular SystemCardiovascular System
Cardiovascular System
 
Digital Signal Processing and Control System under MATLAB Environment
Digital Signal Processing and Control System under MATLAB EnvironmentDigital Signal Processing and Control System under MATLAB Environment
Digital Signal Processing and Control System under MATLAB Environment
 
Image Compression
Image CompressionImage Compression
Image Compression
 
Hydrology & Site Selection of Hydro Power Plant
Hydrology & Site Selection of Hydro Power PlantHydrology & Site Selection of Hydro Power Plant
Hydrology & Site Selection of Hydro Power Plant
 
Electromagnetic Field Theory May 2013
Electromagnetic Field Theory May 2013Electromagnetic Field Theory May 2013
Electromagnetic Field Theory May 2013
 
Digital Image Processing May 2013
Digital Image Processing May 2013Digital Image Processing May 2013
Digital Image Processing May 2013
 

Dernier

Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 

Dernier (20)

Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 

Digital Image Processing Mar 2013

  • 1. Roll No. Guru Nanak Education Trust Group of Institution Digital Image Processing (TEC-024) 1st Sessional Examination 2012-13 B.Tech (ECE) Final Year Attempt any Three Questions. Each Question Carry equal marks M.M. 30 Write down your Roll No on the Question paper. Time: 1.00 Hr 1. What are the fundamental steps we use in Digital Image Processing? Explain in detail with neat diagram. 2. What do you mean by color model? 3. Explain One Dimensional Discrete Fourier Transform and its properties. 4. (a) Consider the two image subsets, S1 & S2 shown in the following figure. For V = { 1 }, Determine whether these two subsets are i. 4-adjacent ii. 8-adjacent iii. m-adjacent or (b) Consider the image segment shown i. Let V = { 0 , 1 } and compute the lengths of shortest 4- , 8- and m- path between p and q , if a particular path does not exist between these two points explain why. ii. Repeat for V = { 1 , 2 } Read every Question completely and then attempt it in correct manner. All the Best ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Roll No. Guru Nanak Education Trust Group of Institution Digital Image Processing (TEC-024) 1st Sessional Examination 2012-13 B.Tech (ECE) Final Year Attempt any Three Questions. Each Question Carry equal marks M.M. 30 Write down your Roll No on the Question paper. Time: 1.00 Hr 1. What are the fundamental steps we use in Digital Image Processing? Explain in detail with neat diagram. 2. What do you mean by color model? 3. Explain One Dimensional Discrete Fourier Transform and its properties. 4. (a) Consider the two image subsets, S1 & S2 shown in the following figure. For V = { 1 }, Determine whether these two subsets are i. 4-adjacent ii. 8-adjacent iii. m-adjacent or (b) Consider the image segment shown i. Let V = { 0 , 1 } and compute the lengths of shortest 4- , 8- and m- path between p and q , if a particular path does not exist between these two points explain why. ii. Repeat for V = { 1 , 2 } Read every Question completely and then attempt it in correct manner. All the Best