Earticle

초록

영어

Content-based image retrieval is a very important area of research nowadays. Content Based mage Retrieval (CBIR) is a technique which uses visual features of image such as color, shape, texture, etc. CBIR technologies provide a method to find images in large databases by using unique descriptors from a trained image. A lots of research works had been completed in the past decade to design efficient image retrieval techniques from the image or multimedia databases. Large number of retrieval techniques has been introduced, but there is no universally accepted feature extraction and retrieval technique available. In this paper, we present a study of various content-based image retrieval systems and their behaviour, texture analysis and various feature extraction with representation.

목차

Abstract
 1. Introduction
 2. Content-based Image Retrieval
 3. Texture Analysis Problems
  3.1. Texture Segmentation
  3.2. Texture Classification
  3.3. Texture Synthesis
 4. Feature Extraction
  4.1 Color
  4.2. Gray Level Co-occurrence Matrix
  4.3. Color Histogram
  4.4. Geometric Moments
  4.5 Color Moments
 5. Methods of Representation
 6. Applications of CBIR
 7. Conclusion
 References

키워드

저자

• Ashwani Kr. Yadav [ Asst. Prof. (ASET), Amity University Rajasthan, Jaipur ]
• R. Roy [ Asst. Prof. (ASET), Amity University Rajasthan, Jaipur ]
• Vaishali [ Asst. Prof. (ASET), Amity University Rajasthan, Jaipur ]
• Archek Praveen Kumar [ Asst. Prof. (ASET), Amity University Rajasthan, Jaipur ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605