Name
Abstract | ||
|---|---|---|
This paper proposes the shifted histogram method (SHM), for histogram-based image retrieval based on the dominant colors in images. The histogram-based method is very suitable for color image retrieval because retrievals are unaffected by geometrical changes in images, such as translation and rotation. Images with the same visual information, but with shifted color intensity, may significantly degrade if the conventional histogram intersection method (HIM) is used. In order to solve this problem, we propose the shifted histogram method (SHM). Our experimental results show that the shifted histogram method |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72588-6_142 | International Conference on Computational Science (3) |
Keywords | Field | DocType |
histogram method,color intensity,content-based image retrieval,conventional histogram intersection method,shifted histogram,visual information,color image retrieval,geometrical change,dominant color,histogram-based method,histogram-based image retrieval,color image,color histogram,image retrieval | Computer vision,Color histogram,Pattern recognition,Computer science,Histogram matching,Adaptive histogram equalization,Artificial intelligence,Balanced histogram thresholding,Image histogram,Histogram equalization,Color normalization,Content-based image retrieval | Conference |
Volume | ISSN | Citations |
4489 | 0302-9743 | 2 |
PageRank | References | Authors |
0.37 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gi-Hyoung Yoo | 1 | 2 | 0.37 |
| Beob Kyun Kim | 2 | 4 | 2.10 |
| Kang Soo You | 3 | 4 | 2.77 |