Name
Abstract | ||
|---|---|---|
The geomaterials used in this study are granites from Finland with very similar mineral composition. Visual evaluation of the rock texture is done to determine the most significant features of the patterns for the analysis of heterogeneity of meso textures are grain size and grain size spatial distribution. These are compared to results of parameters calculated using image structure analyser. Images are capture with a scanner of the polished slabs that are 9*9 cm in size. The geo textures are expressed by four main parameters: textural entropy, homogeneity, contrast and textural correlation. Reducing the number of parameters to entropy and textural correlation significantly reduce the calculation time. These two parameters are considered to be the most significant. The other two, homogeneity and contrast, can be estimated. The parameter textural correlation yields better results than does textural entropy. Comparison of the analysis of textures visually and using image analysis shows that textural parameters have to be further worked in order to have a better performance. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11492542_87 | IbPRIA (2) |
Keywords | Field | DocType |
grain size spatial distribution,haralick parameter,image structure analyser,textural entropy,textural correlation,better result,parameter textural correlation yield,grain size,meso texture,textural parameter,better performance,image analysis,computer and information science | Computer vision,Analyser,Homogeneity (statistics),Rock microstructure,Computer science,Image texture,Image processing,Particle-size distribution,Grain size,Artificial intelligence,Image structure | Conference |
Volume | ISSN | ISBN |
3523 | 0302-9743 | 3-540-26154-0 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Margarida Taborda Duarte | 1 | 0 | 0.68 |
| Joanne Mae Robison Fernlund | 2 | 0 | 0.34 |