NDLI: An Efficient Content based Image Retrieval: CBIR

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An Efficient Content based Image Retrieval: CBIR

Content Provider	Semantic Scholar
Author	Khan, Shaziya Khan, Shamaila
Copyright Year	2016
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.
Starting Page	33
Ending Page	37
Page Count	5
File Format	PDF HTM / HTML
DOI	10.5120/ijca2016911885
Volume Number	152
Alternate Webpage(s)	https://www.ijcaonline.org/archives/volume152/number6/26326-26326-2016911885?format=pdf
Alternate Webpage(s)	https://doi.org/10.5120/ijca2016911885
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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