Abstract
This paper presents a region-based image retrieval system that provides a user interface for helping to specify the watershed regions of interest within a query image. We first propose a new type of visual features, called color-size feature, which includes color-size histogram and moments, to integrate color and region-size information of watershed regions. Next, we design a scheme of region filtering that is based on color-size histogram to fast screen out some of most irrelevant regions and images for the preprocessing of the image retrieval. Our region-based image retrieval system applies the Earth Mover's Distance in the design of the similarity measure for image ranking and matching. Finally, we present some experiments for the color-size feature, region filtering, and retrieval results that demonstrate the efficiency of our proposed system.
Original language | English |
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Pages (from-to) | 167-177 |
Number of pages | 11 |
Journal | Journal of Visual Communication and Image Representation |
Volume | 20 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2009 Apr 1 |
Keywords
- Color-size feature
- Content-based image retrieval
- Earth mover's distance
- Region filtering
- Region-based image retrieval
- Visual feature
ASJC Scopus subject areas
- Signal Processing
- Media Technology
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering