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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
