Name
Abstract | ||
|---|---|---|
Conventional digital filtering techniques, based on classical Fourier analysis (that is, low-pass, high-pass and band-pass), are widely used in digital image processing. Unsatisfaction may be encountered when applying these filters to texture analysis of images, where one needs some specific spatial filters which are able to transform an image in the sense of texture rather than the spectral properties. Such textural filters can be designed in the texture spectrum domain and they are of interest for texture analysis. An example is given in this paper, and has been applied to four of Brodatz's natural images. The result shows a promising potential of the texture spectrum for designing textural filters. |
Year | DOI | Venue |
|---|---|---|
1991 | 10.1016/0031-3203(91)90144-T | Pattern Recognition |
Keywords | Field | DocType |
pattern recognition,texture enhancement,texture spectrum,image processing,texture filtering,textural filter,texture analysis,spectrum | Computer vision,Texture compression,Fourier analysis,Digital filter,Pattern recognition,Digital signal,Image texture,Image processing,Artificial intelligence,Digital image processing,Mathematics,Texture filtering | Journal |
Volume | Issue | ISSN |
24 | 12 | Pattern Recognition |
Citations | PageRank | References |
9 | 1.02 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dong-Chen He | 1 | 189 | 21.81 |
| Li Wang | 2 | 120 | 16.84 |