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Research Article

Neural Network Based Query Image Extraction using Shape, Color and Texture Features

Amreen Syed  ·  Sourabh Jain

IJDACR Vol.4 No.10 (May 2016) ISSN 2319-4863 Open Access Peer Reviewed

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.4 · Issue 10

Published

May 2016

Access

Open Access

Licence

CC BY-NC-SA 4.0

Authors

Amreen Syed Sourabh Jain

Abstract

Content-based image retrieval (CBIR) is the
application of computer vision to the image retrieval
problem, that is, the problem of searching for digital
images in large databases. Most of the existing image
retrieval systems give lesser accuracy while using
different features individually. Therefore, in this
paper, we develop a framework using extraction of
color, texture and shape features along with Neural
Network Classifier to classify the extracted features.

How to Cite

Amreen Syed, Sourabh Jain (2016). Neural Network Based Query Image Extraction using Shape, Color and Texture Features. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.4, Issue 10. ISSN: 2319-4863.

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Article Info

Journal IJDACR
Volume Vol. 4
Issue No. 10
Month May
Year 2016
ISSN 2319-4863
Access Open Access

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