International Journal of Computational Intelligence Systems

Volume 8, Issue 2, April 2015, Pages 198 - 207

A Novel Method For Image Retrieval Based On Visually Significant Feature Point Maps

Authors
Mangipudi Partha Sarathi, M. A. Ansari
Corresponding Author
Mangipudi Partha Sarathi
Received 2 October 2013, Accepted 4 September 2014, Available Online 1 April 2015.
DOI
https://doi.org/10.1080/18756891.2015.1001944How to use a DOI?
Keywords
Wavelets, Edge maps, feature points, Hausdorff distance, Retrieval
Abstract
In this paper, we present a new algorithm for visually significant feature points detection for efficient image indexing and retrieval. We propose a hybrid feature point detector based on edge maps obtained via spatial and wavelet methods. Proposed method is compared with other existing interest point detectors. Robustness of feature points to geometric transformations like rotation and scaling is analyzed. Hausdorff distance measure is used for indexing and ranking of results.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
8 - 2
Pages
198 - 207
Publication Date
2015/04/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.1080/18756891.2015.1001944How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Mangipudi Partha Sarathi
AU  - M. A. Ansari
PY  - 2015
DA  - 2015/04/01
TI  - A Novel Method For Image Retrieval Based On Visually Significant Feature Point Maps
JO  - International Journal of Computational Intelligence Systems
SP  - 198
EP  - 207
VL  - 8
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2015.1001944
DO  - https://doi.org/10.1080/18756891.2015.1001944
ID  - Sarathi2015
ER  -