Volume 8, Issue 2, April 2015, Pages 198 - 207
A Novel Method For Image Retrieval Based On Visually Significant Feature Point Maps
Mangipudi Partha Sarathi, M. A. Ansari
Mangipudi Partha Sarathi
Received 2 October 2013, Accepted 4 September 2014, Available Online 1 April 2015.
- https://doi.org/10.1080/18756891.2015.1001944How to use a DOI?
- Wavelets, Edge maps, feature points, Hausdorff distance, Retrieval
- 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.
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 -