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Overwriting Grammar Model to Represent 2D
Image Patterns
1Vishnu Murthy. G, 2Vakulabharanam Vijaya Kumar
1,2Anurag Group of Institutions, Hyderabad, AP,India.
1www.icgst.com
http://www.icgst.com/paper.aspx?pid=P1151424332
Picture languages generated by array grammars played a significant role to solve
problems arising the frame work of pattern recognition and image processing.
Only very few research scholar’s derived grammar to represent pictures. The
present paper derived a “Simplified Over Writing Regular Array Grammar
(SOWRAG)” for describing digitized pictures in a two dimensional plane. The
SOWRAG is different from other image grammars. All the other grammars
representing the images or patterns assume a rigid rule that all image’s are initially
represented by a special symbol #. Most of the production rules of those
grammars contain # as one of the symbol on left hand side of production. The
proposed SOWRAG overcomes the above issues of traditional grammars
representing picture languages. The proposed SOWRAG is simple in nature and
represents effectively the patterns of an image. The present paper also derived
new finite automata to represent the SOWRAG.
2www.icgst.com
http://www.icgst.com/paper.aspx?pid=P1151424332
Overwriting Grammar Model to Represent 2D Image Patterns
Abstract
3www.icgst.com
Dr. Vakulabharanam Vijaya Kumar is working as Professor & Dean in Dept. of CSE & IT at Anurag Group of
Institutions,(AGOI)(Autonomous), Hyderabad. He received integrated M.S.Engg, in CSE from USSR in 1989.
He received his Ph.D. degree in Computer Science from Jawaharlal Nehru Technological University (JNTU),
Hyderabad, India in 1998 and guided 18 research scholars for Ph.D. He has served JNT University for 13 years
as Assistant Professor and Associate Professor. He is also acting as Director for Centre for Advanced
Computational Research (CACR) at AGOI, Hyderabad where research scholars across the state are working.
He has received best researcher and best teacher award from JNT University, Kakinada, India. His research
interests include Image Processing, Pattern Recognition, Digital Water Marking, Cloud Computing and Image
Retrieval Systems. He is the life member of CSI, ISCA, ISTE, IE (I), IETE, ACCS, CRSI, IRS and REDCROSS. He
published more than 120 research publications till now in various National, International journals and
conferences. He has also established and also acted as a Head, Srinivasa Ramanujan Research Forum (SRRF)
at GIET, Rajahmundry, India from May 2006 to April 2013 for promoting research and social activities.
Jawaharlal Nehru Technological University
Hyderabad
http://www.jntuh.ac.in/new/
4www.icgst.com
Vishnu Murthy. G received his Bachelor’s and Master`s Degree in Computer Science & Engineering. He is
having 16 years of Teaching experience and Presently Pursuing Ph.D. in Computer Science & Engineering
from the Jawaharlal Nehru Technological University, Hyderabad under the guidance of Dr.V. Vijaya Kumar.
He is heading the Department of CSE at Anurag Group of Institutions (Formerly CVSR College of
Engineering), Hyderabad. He is Life Member of ISTE, Member of IEEE Computer Society, CRSI, CSI. His
research areas include Computer Vision, Array Grammars, Image Processing, Data Mining and Big Data. He
has published 5 papers in international journals and two papers in international conferences.
Anurag Group of Institutions
http://www.cvsr.ac.in/
5
5

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P1151424332

  • 1. Overwriting Grammar Model to Represent 2D Image Patterns 1Vishnu Murthy. G, 2Vakulabharanam Vijaya Kumar 1,2Anurag Group of Institutions, Hyderabad, AP,India. 1www.icgst.com http://www.icgst.com/paper.aspx?pid=P1151424332
  • 2. Picture languages generated by array grammars played a significant role to solve problems arising the frame work of pattern recognition and image processing. Only very few research scholar’s derived grammar to represent pictures. The present paper derived a “Simplified Over Writing Regular Array Grammar (SOWRAG)” for describing digitized pictures in a two dimensional plane. The SOWRAG is different from other image grammars. All the other grammars representing the images or patterns assume a rigid rule that all image’s are initially represented by a special symbol #. Most of the production rules of those grammars contain # as one of the symbol on left hand side of production. The proposed SOWRAG overcomes the above issues of traditional grammars representing picture languages. The proposed SOWRAG is simple in nature and represents effectively the patterns of an image. The present paper also derived new finite automata to represent the SOWRAG. 2www.icgst.com http://www.icgst.com/paper.aspx?pid=P1151424332 Overwriting Grammar Model to Represent 2D Image Patterns Abstract
  • 3. 3www.icgst.com Dr. Vakulabharanam Vijaya Kumar is working as Professor & Dean in Dept. of CSE & IT at Anurag Group of Institutions,(AGOI)(Autonomous), Hyderabad. He received integrated M.S.Engg, in CSE from USSR in 1989. He received his Ph.D. degree in Computer Science from Jawaharlal Nehru Technological University (JNTU), Hyderabad, India in 1998 and guided 18 research scholars for Ph.D. He has served JNT University for 13 years as Assistant Professor and Associate Professor. He is also acting as Director for Centre for Advanced Computational Research (CACR) at AGOI, Hyderabad where research scholars across the state are working. He has received best researcher and best teacher award from JNT University, Kakinada, India. His research interests include Image Processing, Pattern Recognition, Digital Water Marking, Cloud Computing and Image Retrieval Systems. He is the life member of CSI, ISCA, ISTE, IE (I), IETE, ACCS, CRSI, IRS and REDCROSS. He published more than 120 research publications till now in various National, International journals and conferences. He has also established and also acted as a Head, Srinivasa Ramanujan Research Forum (SRRF) at GIET, Rajahmundry, India from May 2006 to April 2013 for promoting research and social activities. Jawaharlal Nehru Technological University Hyderabad http://www.jntuh.ac.in/new/
  • 4. 4www.icgst.com Vishnu Murthy. G received his Bachelor’s and Master`s Degree in Computer Science & Engineering. He is having 16 years of Teaching experience and Presently Pursuing Ph.D. in Computer Science & Engineering from the Jawaharlal Nehru Technological University, Hyderabad under the guidance of Dr.V. Vijaya Kumar. He is heading the Department of CSE at Anurag Group of Institutions (Formerly CVSR College of Engineering), Hyderabad. He is Life Member of ISTE, Member of IEEE Computer Society, CRSI, CSI. His research areas include Computer Vision, Array Grammars, Image Processing, Data Mining and Big Data. He has published 5 papers in international journals and two papers in international conferences. Anurag Group of Institutions http://www.cvsr.ac.in/
  • 5. 5
  • 6. 5