Name
Title | ||
|---|---|---|
Experimentation on the use of chromaticity features, local binary pattern, and discrete cosine transform in colour texture analysis |
Abstract | ||
|---|---|---|
This paper describes a method for colour texture analysis, which performs segmentation based on colour and texture information. The main goal of this approach is to examine the contribution of chromaticity features in the analysis of texture. Local Binary Pattern and Discrete Cosine Transform are the techniques utilised as a tool to perform feature extraction. Segmentation is carried out based on an unsupervised texture segmentation method. The performance of the method is evaluated using different chromaticity features and also using the ROC curves. The results indicate that the inclusion of colour information improves the segmentation performance. |
Year | Venue | Keywords |
|---|---|---|
2003 | SCIA | texture information,local binary pattern,segmentation performance,chromaticity feature,different chromaticity feature,unsupervised texture segmentation method,roc curve,colour texture analysis,discrete cosine,colour information,discrete cosine transform,image processing,electronic engineering,texture,segmentation |
Field | DocType | Volume |
Computer vision,Texture compression,Scale-space segmentation,Pattern recognition,Computer science,Segmentation,Image texture,Local binary patterns,Discrete cosine transform,Feature extraction,Artificial intelligence,Texture filtering | Conference | 2749 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-40601-8 | 0 |
PageRank | References | Authors |
0.34 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Padmapriya Nammalwar | 1 | 9 | 0.91 |
| Ovidiu Ghita | 2 | 234 | 18.12 |
| Paul F. Whelan | 3 | 561 | 39.95 |