Improved Curvature Scale Space based on image retrieval using Dynamic Time Warping

被引：0
|
作者：
Kim, Sang Hee [1 ]
Mun, Youngsong [1 ]
Choi, Hyung Il [2 ]
机构：
[1] Soong Sil Univ, Sch Comp, Seoul 156743, South Korea
[2] Soong Sil Univ, Sch Media, Seoul 156743, South Korea
来源：
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2008, PT 2, PROCEEDINGS | 2008年 / 5073卷
关键词：
CSS; DTW; image retrieval; shape similarity;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we suggest improved Improved Curvature Scale Space(ICSS) based on image retrieval using Dynamic Time Warping(DTW). This method consists of three process. At the first stage, we retrieved an image using ICSS method. We applied ICSS space to extract shape information. This method expressed contours of the object which is binarized through pre-process in ICSS space, then extract shape features of the object. At the second stage, we applied DTW for time series to determine similarities. DTW algorithm is good to find the optimal alignment between two time series. finally, merge ICSS shape feature with DTW information. This method is estimated with a database of 1000 images. With estimated result, we show that proposed method is better in accuracy of searching than without DTW.
引用
收藏
页码：32 / +
页数：3
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