Name
Abstract | ||
|---|---|---|
A texture descriptor is a collection of quantified measurements of a texture's properties. They are used to describe how the basic unit of a texture is repeated in an image, such as the pattern size, pattern linelikeness, directional unification and directionality. These quantified measures have often been calculated in the spatial domain. This paper proposes a new approach of calculating texture deature descriptors in the frequency domain. It also introduces new texture feature descriptors, which describe how the unit of texture is repeated global throughout the image, such as pattern formation linelikeness and repetition directionality. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/IVCNZ.2018.8634740 | IVCNZ |
Keywords | Field | DocType |
Image edge detection,Fourier transforms,Frequency-domain analysis,Pattern formation,Testing,Mathematical model,Computer vision | Frequency domain,Computer vision,Texture Descriptor,Pattern recognition,Computer science,Image texture,Directionality,Fourier transform,Pattern formation,Artificial intelligence,Fourier spectrum | Conference |
ISSN | ISBN | Citations |
2151-2191 | 978-1-7281-0125-5 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinyu Hu | 1 | 0 | 0.34 |
| Andrew Ensor | 2 | 10 | 4.23 |