Name
Abstract | ||
|---|---|---|
We provide a new image retrieval model which integrates the spatial distributing information of colors and the shape features. The color features are represented by an amelioration of HSV color model: color sector. To describe the relative position and orientation of objects within the image, hue edges in the image, computed using Canny approach, are processed by Hough transform to generate the spatial histogram which is used as shape representation. To address matching of image, we define two global distance measures based on the accumulative distance and vector-based distance to compare the similarity of two images. Experimental results indicate that our approach provides higher retrieval rate than that of single feature (color), is a better tradeoff between high efficiency and reasonable precision. Key words: image retrieval; retrieval model; color model; Hough transform. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/FSKD.2007.220 | FSKD (3) |
Keywords | Field | DocType |
color feature,color model,higher retrieval rate,color sector,accumulative distance,edge features,image retrieval,color sectors,global distance,hsv color model,retrieval model,new image retrieval model,content-based image,edge detection,feature extraction,hough transform | Computer vision,Image gradient,Pattern recognition,Color histogram,Image texture,Computer science,Color balance,Artificial intelligence,Color normalization,Content-based image retrieval,Color quantization,Color image | Conference |
ISBN | Citations | PageRank |
0-7695-2874-0 | 0 | 0.34 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Taijun Li | 1 | 5 | 1.54 |
| Qiuli Wu | 2 | 0 | 0.34 |
| Jiafu Yi | 3 | 0 | 0.34 |
| Cheng Chang | 4 | 440 | 54.17 |