Name
Abstract | ||
|---|---|---|
In this paper we present a feature extraction approach by using ICA filters bank, which consists of the ICA basis images learned from the training images. On the basis of its ability to capture the inherent properties of textured image, we use the ICA filters bank as template model to extract the texture feature for segmentation. Experiments based on clustering and classifications are demonstrated to show the feasibility of this method |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICNC.2009.400 | ICNC (6) |
Keywords | Field | DocType |
textured image,ica filters,texture images segmentation method,feature extraction approach,training image,ica filters bank,inherent property,ica basis image,template model,texture feature,training data,filter bank,independent component analysis,feature extraction,data mining,image segmentation,image texture,filtering | Computer science,Filter bank,Image segmentation,Artificial intelligence,Cluster analysis,Computer vision,Pattern recognition,Image texture,Segmentation,Filter (signal processing),Feature extraction,Independent component analysis,Machine learning | Conference |
Citations | PageRank | References |
1 | 0.35 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lijuan Duan | 1 | 215 | 26.13 |
| Jicai Ma | 2 | 1 | 0.69 |
| Jun Miao | 3 | 220 | 22.17 |
| Yuanhua Qiao | 4 | 31 | 6.68 |