Exam Details
Subject | Pattern Recognition | |
Paper | ||
Exam / Course | B.Tech In Computer Science And Engineering (BTCSVI) | |
Department | School of Engineering & Technology (SOET) | |
Organization | indira gandhi national open university | |
Position | ||
Exam Date | December, 2016 | |
City, State | new delhi, |
Question Paper
1. Classify images on the basis of the following:
Colour
Dimension
Data types
Attributes
Briefly discuss each identified class of image, along with its contents. What is the role of pattern recognition in image analysis?
2. What is the role of Edge linking algorithms in pattern recognition? Explain the Edge relaxation algorithm for edge linking. How does it differ from Graph theoretic algorithm?
3. Describe any two of the following. Use suitable examples in your description:
Detection of discontinUities
Combined detection method
Snake methods
4. What are syntactic classifiers How do syntactic classifiers recognize the object? What are the phases of implementation of syntactic classifiers? 10
5. Discuss any two of the following:
Boundary descriptors
Boundary merging techniques
Study of shape by region analysis
6. Elaborate your understanding for the terms 'Fuzzyfication' and 'De-fuzzyfication'. What is the role of these two terms in pattern recognition Give suitable examples.
7. Briefly discuss any two of the following:
Laplacian and its role in pattern recognition
Fuzzy methods for pattern recognition
Feature detection
8. Give the details of adaptive classification of fuzzy grammar.
9. List the areas of application of pattern recognition. Explain the pattern recognition techniques for any two application areas.
10. Write short notes on any two of the following. Give suitable examples for each:
Regular Patterns
Feature Selection
Irregular Patterns
Colour
Dimension
Data types
Attributes
Briefly discuss each identified class of image, along with its contents. What is the role of pattern recognition in image analysis?
2. What is the role of Edge linking algorithms in pattern recognition? Explain the Edge relaxation algorithm for edge linking. How does it differ from Graph theoretic algorithm?
3. Describe any two of the following. Use suitable examples in your description:
Detection of discontinUities
Combined detection method
Snake methods
4. What are syntactic classifiers How do syntactic classifiers recognize the object? What are the phases of implementation of syntactic classifiers? 10
5. Discuss any two of the following:
Boundary descriptors
Boundary merging techniques
Study of shape by region analysis
6. Elaborate your understanding for the terms 'Fuzzyfication' and 'De-fuzzyfication'. What is the role of these two terms in pattern recognition Give suitable examples.
7. Briefly discuss any two of the following:
Laplacian and its role in pattern recognition
Fuzzy methods for pattern recognition
Feature detection
8. Give the details of adaptive classification of fuzzy grammar.
9. List the areas of application of pattern recognition. Explain the pattern recognition techniques for any two application areas.
10. Write short notes on any two of the following. Give suitable examples for each:
Regular Patterns
Feature Selection
Irregular Patterns
Other Question Papers
Departments
- Centre for Corporate Education, Training & Consultancy (CCETC)
- Centre for Corporate Education, Training & Consultancy (CCETC)
- National Centre for Disability Studies (NCDS)
- School of Agriculture (SOA)
- School of Computer and Information Sciences (SOCIS)
- School of Continuing Education (SOCE)
- School of Education (SOE)
- School of Engineering & Technology (SOET)
- School of Extension and Development Studies (SOEDS)
- School of Foreign Languages (SOFL)
- School of Gender Development Studies(SOGDS)
- School of Health Science (SOHS)
- School of Humanities (SOH)
- School of Interdisciplinary and Trans-Disciplinary Studies (SOITDS)
- School of Journalism and New Media Studies (SOJNMS)
- School of Law (SOL)
- School of Management Studies (SOMS)
- School of Performing Arts and Visual Arts (SOPVA)
- School of Performing Arts and Visual Arts(SOPVA)
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- School of Social Work (SOSW)
- School of Tourism & Hospitality Service Sectoral SOMS (SOTHSM)
- School of Tourism &Hospitality Service Sectoral SOMS (SOTHSSM)
- School of Translation Studies and Training (SOTST)
- School of Vocational Education and Training (SOVET)
- Staff Training & Research in Distance Education (STRIDE)
Subjects
- Advanced Computer Architecture
- Artificial Intelligence
- Computer Architecture
- Computer Networks
- Computer Organisations
- Cryptography And Network Security
- Data Structure
- Data Warehousing And Mining
- Database Management System
- Design and Analysis of Algorithm
- Digital Image Processing
- Discrete Maths Structure
- E-Business
- Formal Language And Automata
- Logic Design
- Microprocessor
- Mobile Computing
- Object Oriented Programming
- Operating Systems
- Parallel Algorithms
- Pattern Recognition
- Principles of Programming Lang.
- Real Time Systems
- Software Engineering
- Software Quality Engineering
- Software Reusability
- System Programming And Compiler Design
- Theory Of Computation
- Unix Internals And Shell Programming
- Web Technology