A Survey of Rotation Invariant Texture Classification Methods

Abstract

In this survey, the advances in rotation invariant texture classification techniques are discussed. The overall evolution of this niche from nascent to reasonably mature field is studied. It is very difficult to include all the works in such a paper; an attempt is made to include representative works of major methods. Markov Random Field based schemes are computationally involved. Methods based on wavelet and multichannel filtering are used for rotation invariant texture classification. Visual information retrieval system requires a robust and computationally less involved rotation invariant texture features. This area would be pursued vigorously in near future.

Indexing terms:

• Texture classification
• Rotation invariance
• PDF based models
• Gabor filters
• Wavelet transform

Additional information

Notes on contributors

Ramchandra Manthalkar

Ramchandra Manthalkar did BE (Electronics) from Shri Guru Gobind Singhji College of Engineering and Technology Nanded in 1988 and stood first in the University. He joined the same college as lecturer in 1988. Received National Merit Scholarship from 1982–88. He did ME (Electronics) in 1994 from the same Institute. He has published one paper in National Journal and 10 papers in National and International Conferences. Presently working towards PhD Degree at IIT Kharagpur, under Quality Improvement Program of AICTE.

P K Biswas

P K Biswas received BTech (1985), MTech (1989) and PhD (1991) from the Department of Electronics and Electrical Communication Engineering, IIT Kharagpur. From 1985 to 1987 he was with Bharat Electronics Ltd, Ghaziabad as a Deputy Engineer where his major responsibility was designing of Communication Equipments. Since 1991 he is a faculty member in the Department of Electronics and Electrical Communication Engineering, IIT Kharagpur and is currently holding the position of Associate Professor. He has organized two short-term courses for Industries and Engineering college teachers. He has published more than 40 papers in reputed International and National journals and Conferences. He has filed six International Patents. Currently he is doing research at the University of Kaiserslautern, Germany under Alexander von Humboldt Research Fellowship programme. His research interests are Image Compression, Video Coding, Object Tracking, Texture Analysis and Content Based Image Retrieval.