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| Content Based Image Retrieval using Color Boosted Salient Points and Shape features of an image
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Full
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Source |
International Journal of Image Processing (IJIP) |
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Table of Contents |
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Complete Issue PDF(1.27MB) |
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Volume: 2 Issue: 1 |
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Pages: 1-34 |
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Publication
Date: February 2008 |
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ISSN
(Online): 1985-2304 |
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Pages |
10 - 17 |
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Author(s) |
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Published
Date |
30-02-2008 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Color saliency, Local descriptors, Gradient vector flow field |
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| Salient points are locations in an image where there is a significant variation with
respect to a chosen image feature. Since the set of salient points in an image
capture important local characteristics of that image, they can form the basis of a
good image representation for content-based image retrieval (CBIR). Salient
features are generally determined from the local differential structure of images.
They focus on the shape saliency of the local neighborhood. Most of these
detectors are luminance based which have the disadvantage that the
distinctiveness of the local color information is completely ignored in determining
salient image features. To fully exploit the possibilities of salient point detection in
color images, color distinctiveness should be taken into account in addition to
shape distinctiveness. This paper presents a method for salient points
determination based on color saliency. The color and texture information around
these points of interest serve as the local descriptors of the image. In addition,
the shape information is captured in terms of edge images computed using
Gradient Vector Flow fields. Invariant moments are then used to record the
shape features. The combination of the local color, texture and the global shape
features provides a robust feature set for image retrieval. The experimental
results demonstrate the efficacy of the method. |
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| Hiremath P.S : Colleagues
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| Jagadeesh Pujari : Colleagues
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