Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 10, Issue 3


Published
on


Pages

1291-1297


DOI

Article

Content Based Image Retrieval System Using Integrated Feature Extraction Approach


Authors

Subhashree Sukla Affiliation:
Gandhi Institute for Technology, Bhubaneshwar, India
, Jyostnarani Tripathy Affiliation:
Gandhi Institute for Technology, Bhubaneshwar, India
and Anjali Behera Affiliation:
Gandhi Engineering College, Bhubaneswar, Odisha, India


Abstract

This article implemented an efficient content-based image retrieval (CBIR) system using integrated feature extraction approach where spatial dependence matrix (SDM) is utilized to extract the texture features from the given images while translation invariant discrete wavelet transform(TIDWT) employed for low-level feature extraction. Further, this approach considered Tanimoto distance for showing the effectiveness of proposed hybrid CBIR system. Extensive experimental analysis discloses that proposed hybrid CBIR system improves efficiency tremendously over conventional CBIR systems.


Keywords

CBIR, Spatial dependence matrix, Discrete wavelet transform, Similarity measurement and Precision


Citation

Sukla, S., Tripathy, J., & Behera, A. (2019). Content based image retrieval system using integrated feature extraction approach. Turkish Journal of Computer and Mathematics Education, 10(3), 1291–1297.

Published by: Engineering Journals

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