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논문검색

Texture Classification Based on Random Threshold Vector Technique

원문정보

B.V. Ramana Reddy, M.Radhika Mani, B.Sujatha, Dr.V.Vijaya Kumar

보안공학연구지원센터(IJMUE) International Journal of Multimedia and Ubiquitous Engineering Vol.5 No.1 2010.01 pp.53-62
피인용수 : 0건 (자료제공 : 네이버학술정보)

초록

영어

A new feature set derived from the fractal geometry, called the random threshold vector (RTV) is proposed for texture analysis. The RTV is computed for different run length entropy dimensions. The run length entropy dimensions are calculated based on different thresholds. To test the rotationally invariant feature, the run length entropies are calculated in different directions. The experimental results show that the RTV contains great discriminatory information needed for a successful classification.

목차

Abstract
 1. Introduction
 2. Methodology
 3. Results and Discussions
 4. Conclusions
 References

키워드

저자정보

  • B.V. Ramana Reddy Associate Professor, Dept. of CSE, KSRM COE, Kadapa, A.P., India
  • M.Radhika Mani Asssistant Professor, Dept. of CSE, GIET, Rajahmundry, A.P., India
  • B.Sujatha Associate Professor, Dept. of CSE, GIET, Rajahmundry, A.P., India
  • Dr.V.Vijaya Kumar Dean and Professor, Dept. of CSE and IT, GIET, Rajahmundry, A.P., India

참고문헌

자료제공 : 네이버학술정보

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