An Efficient Content based Image Retrieval: CBIR
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10.5120/ijca2016911885 |
Shaziya Khan and Shamaila Khan. An Efficient Content based Image Retrieval: CBIR. International Journal of Computer Applications 152(6):33-37, October 2016. BibTeX
@article{10.5120/ijca2016911885,
author = {Shaziya Khan and Shamaila Khan},
title = {An Efficient Content based Image Retrieval: CBIR},
journal = {International Journal of Computer Applications},
issue_date = {October 2016},
volume = {152},
number = {6},
month = {Oct},
year = {2016},
issn = {0975-8887},
pages = {33-37},
numpages = {5},
url = {http://www.ijcaonline.org/archives/volume152/number6/26326-2016911885},
doi = {10.5120/ijca2016911885},
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
Abstract
Due to the exponential growth of image data there is a dire need for innovative tools which can easily manage, retrieve images and images from the large image database. The most common approach which is being used is Content-Based Image Retrieval (CBIR) system. CBIR is the popular image retrieval system by which reterived the targetted image can be retrieved by matching the features of the given image. The goal of this paper is to develop an image retrieval based on content properties such as shape, color, texture etc. usually encoded into feature vectors. One of the main advantages of the CBIR approach is the possibility of an automatic retrieval process instead of the traditional keyword-based approach. The CBIR technology has been used in several applications such as fingerprint identification, biodiversity information systems, digital libraries, medicine and historical research among others. This paper aims to develop a new efficient tool for CBIR based on above mention parameters using MATLAB.
References
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Keywords
Image processing, Colour, Size, Shape, Texture, precision and Recall