International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 172 - Issue 2 |
Published: Aug 2017 |
Authors: Elsaeed E. Abdelrazek |
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Elsaeed E. Abdelrazek . A Comparative Study of Image Retrieval Algorithms for Enhancing a Content-based Image Retrieval System. International Journal of Computer Applications. 172, 2 (Aug 2017), 26-32. DOI=10.5120/ijca2017915073
@article{ 10.5120/ijca2017915073, author = { Elsaeed E. Abdelrazek }, title = { A Comparative Study of Image Retrieval Algorithms for Enhancing a Content-based Image Retrieval System }, journal = { International Journal of Computer Applications }, year = { 2017 }, volume = { 172 }, number = { 2 }, pages = { 26-32 }, doi = { 10.5120/ijca2017915073 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2017 %A Elsaeed E. Abdelrazek %T A Comparative Study of Image Retrieval Algorithms for Enhancing a Content-based Image Retrieval System%T %J International Journal of Computer Applications %V 172 %N 2 %P 26-32 %R 10.5120/ijca2017915073 %I Foundation of Computer Science (FCS), NY, USA
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