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 |
|---|---|
| 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 |
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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
Cite this
Region-based image retrieval using color-size features of watershed regions. / Chiang, Cheng Chieh; Hung, Yi Ping; Yang, Hsuan; Lee, Greg C.
In: Journal of Visual Communication and Image Representation, Vol. 20, No. 3, 01.04.2009, p. 167-177.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Region-based image retrieval using color-size features of watershed regions
AU - Chiang, Cheng Chieh
AU - Hung, Yi Ping
AU - Yang, Hsuan
AU - Lee, Greg C.
PY - 2009/4/1
Y1 - 2009/4/1
N2 - 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.
AB - 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.
KW - Color-size feature
KW - Content-based image retrieval
KW - Earth mover's distance
KW - Region filtering
KW - Region-based image retrieval
KW - Visual feature
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U2 - 10.1016/j.jvcir.2009.01.001
DO - 10.1016/j.jvcir.2009.01.001
M3 - Article
AN - SCOPUS:61749096344
VL - 20
SP - 167
EP - 177
JO - Journal of Visual Communication and Image Representation
JF - Journal of Visual Communication and Image Representation
SN - 1047-3203
IS - 3
ER -