Content-based Search for Image Retrieval

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Mohamed M. Fouad 1,*

1. Department of Computer Engineering, Military Technical College Kobry Elkoppa, Cairo, Egypt

* Corresponding author.


Received: 7 May 2013 / Revised: 19 Jun. 2013 / Accepted: 2 Aug. 2013 / Published: 8 Sep. 2013

Index Terms

Content-based, image retrieval and query, text search


In this paper, a content-based image retrieval approach is presented for effective searching. The proposed approach uses two or more types of query for accessing images, textual annotation associated with images and visual appearance, such as colour, texture and positional features of objects in sample images. One can first place a keyword-based query, and then the desired images are retrieved by visual content-based query. The proposed retrieval approach shows clear improvements over competing approaches in terms of retrieval accuracy and visual inspection using Corel gallery and WWW images. 

Cite This Paper

Mohamed M. Fouad,"Content-based Search for Image Retrieval", IJIGSP, vol.5, no.11, pp.46-52, 2013. DOI: 10.5815/ijigsp.2013.11.05


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