Name
Abstract | ||
|---|---|---|
An inherent property to the texture patterns is that they are only meaningful in an appropriate range of scales. Taking this into account, the description of the texture patterns should be limited to its meaningful scales. This assumption motivates the research on local scale texture description. In this paper a new method for the extraction and description of texture features using local scale is presented. The method is based on texton histograms using universal prototype dictionaries of extremal filter outputs. Comparison results with state of the art texture description methods demonstrate the higher discriminative power of the proposed method in local scale texture classification. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/DICTA.2009.18 | Melbourne, VIC |
Keywords | Field | DocType |
local scale,universal dictionary,texton histograms,local scale texture description,meaningful scale,appropriate range,texture pattern,art texture description method,comparison result,new method,local scale texture classification,texture description,data mining,feature extraction,histograms,prototypes,filter bank,dictionaries,databases,image texture,texture | Histogram,Computer vision,Pattern recognition,Computer science,Image texture,Local scale,Texton,Filter bank,Feature extraction,Artificial intelligence,Discriminative model | Conference |
ISBN | Citations | PageRank |
978-0-7695-3866-2 | 0 | 0.34 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jose Rouco | 1 | 55 | 10.41 |
| Manuel G. Penedo | 2 | 185 | 35.91 |
| M Ortega | 3 | 235 | 37.13 |
| Antonio Mosquera | 4 | 7 | 2.67 |