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

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

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 poi...

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Bibliographic Details
Main Authors: Mangipudi Partha Sarathi, M. A. Ansari
Format: Article
Language:English
Published: Atlantis Press 2015-04-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Wavelets
Edge maps
feature points
Hausdorff distance
Retrieval
Online Access:https://www.atlantis-press.com/article/25868589.pdf
Description
Summary: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.
ISSN:1875-6883

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