FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Human-inspired order-based block feature in the HSI color space for image retrieval
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
AMR'10 Proceedings of the 8th international conference on Adaptive Multimedia Retrieval: context, exploration, and fusion
Accurate and efficient cross-domain visual matching leveraging multiple feature representations
The Visual Computer: International Journal of Computer Graphics
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In this paper, we propose an image retrieval method using color feature and shape feature. We suggest CBIR (Content Based Image Retrieval) method using color and shape information. Using just one feature information may cause inaccuracy compared with using more than two feature information. Therefore many image retrieval system use many feature information like color, shape and other features. We use two feature, HSI color information especially Hue value and CSS(Curvature Scale Space) as shape information. We search candidate image form DB which include feature information of many images. As a result, we show that good results can be obtained by color and shape feature. When we use two features, we could approach better result.