A Comparative Study of Image Retrieval Algorithms for Enhancing a Content-Based Image Retrieval System

Authors

  • Elsaeed E. AbdElrazek

Keywords:

image retrieval algorithms, content-based image retrieval system, feature detection algorithms

Abstract

Content Based image retrieval (CBIR) is in retrieve digital images by the actual content in the image .The content are the features of the image such as color, shape, texture and other information about the image including some statistic measures of the image. In this paper Content Based Image Retrieval algorithms are discussed. The comparative study of these algorithms is done. This article covers various techniques for implementing Content Based Image Retrieval algorithms and Some Open Source examples of Content-based Image Retrieval Search Engines.

How to Cite

A Comparative Study of Image Retrieval Algorithms for Enhancing a Content-Based Image Retrieval System. (2017). Global Journal of Computer Science and Technology, 17(F3), 1-8. https://testing.computerresearch.org/index.php/computer/article/view/1628

References

A Comparative Study of Image Retrieval Algorithms for Enhancing a Content-Based Image Retrieval System

Published

2017-10-15

How to Cite

A Comparative Study of Image Retrieval Algorithms for Enhancing a Content-Based Image Retrieval System. (2017). Global Journal of Computer Science and Technology, 17(F3), 1-8. https://testing.computerresearch.org/index.php/computer/article/view/1628