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Color Directional Binary Code for Image Indexing and Retrieval

M. V. Bonde1 , D. D. Doye2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-11 , Page no. 101-106, Nov-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i11.101106

Online published on Nov 30, 2018

Copyright © M. V. Bonde, D. D. Doye . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: M. V. Bonde, D. D. Doye, “Color Directional Binary Code for Image Indexing and Retrieval,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.11, pp.101-106, 2018.

MLA Style Citation: M. V. Bonde, D. D. Doye "Color Directional Binary Code for Image Indexing and Retrieval." International Journal of Computer Sciences and Engineering 6.11 (2018): 101-106.

APA Style Citation: M. V. Bonde, D. D. Doye, (2018). Color Directional Binary Code for Image Indexing and Retrieval. International Journal of Computer Sciences and Engineering, 6(11), 101-106.

BibTex Style Citation:
@article{Bonde_2018,
author = {M. V. Bonde, D. D. Doye},
title = {Color Directional Binary Code for Image Indexing and Retrieval},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2018},
volume = {6},
Issue = {11},
month = {11},
year = {2018},
issn = {2347-2693},
pages = {101-106},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3130},
doi = {https://doi.org/10.26438/ijcse/v6i11.101106}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i11.101106}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3130
TI - Color Directional Binary Code for Image Indexing and Retrieval
T2 - International Journal of Computer Sciences and Engineering
AU - M. V. Bonde, D. D. Doye
PY - 2018
DA - 2018/11/30
PB - IJCSE, Indore, INDIA
SP - 101-106
IS - 11
VL - 6
SN - 2347-2693
ER -

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Abstract

This research paper proposes a novel algorithm meant for image indexing and retrieval, by integrating color and texture features. First, the RGB image is converted to HSV space, then these space features are collected by constructing H & S space histograms and texture features, which are collected from V space of an image by Directional Binary Code (DBC). In the proposed algorithm both, color histograms and texture feature, are then concatenated to generate the feature vector. Using feature vector of query image, similar images are then extracted using different distance measures. The retrieval results for this proposed algorithm is tested over Corel 1000 image database. After investigation, results demonstrate the substantial improvement in terms of retrieval precision and recall as equated to LBP, DBC feature algorithms.

Key-Words / Index Term

Feature Extraction, Local Binary Patterns, Directional Binary Code, Texture, Pattern Recognition, Image Retrieval.

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