Earticle

초록

영어

Image retrieval is an emerging research area for multimedia database. It is the basic requirement task in the present scenario. In this paper we propose a novel CBIR approach using Fuzzy clustering. The proposed method firstly clusters the images based on RGB components, using Fuzzy clustering algorithm, secondly the image retrieval is performed based on texture element in the clustered database. The performance of the system is evaluated on the most common evaluation method namely Precision and Recall method. The proposed method achieves higher efficiency than the texture based retrieval techniques.

목차

Abstract
 1. Introduction
 2. Image Color Content Representation
 3. Fuzzy Clustering
 4. Image Texture Content Representation
  4.1. Energy
  4.2. Entropy
  4.3. Contrast:
 5. Methodology of the Proposed Work
  5.1. Database of Images
  5.2. Algorithm of Proposed Work
 6. Performance Evaluation
 7. Conclusion
 Acknowledgements
 References

키워드

저자

• Nikhil Chaturvedi [ Department of CSE/IT, M.I.T.S., Gwalior ] Corresponding Author
• Saurabh Agarwal [ Department of CSE/IT, M.I.T.S., Gwalior ]
• Punit Kumar Johari [ Department of CSE/IT, M.I.T.S., Gwalior ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605