Name
Abstract | ||
|---|---|---|
Two algorithms that can obtain more accurate estimate of the fractal dimension are proposed. One is the shifting DBC (SDBC) algorithm and the other one is the scanning BC (SBC) algorithm. It is theoretically proven that the SDBC algorithm approaches the estimated value closer to the exact fractal dimension than the DBC method. Simulation results show that the proposed algorithms consistently give more satisfactory results on textured images |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/ICASSP.2001.941226 | ICASSP |
Keywords | Field | DocType |
simulation results,accurate estimate,parameter estimation,fractals,fractal dimension,dbc method,fractal dimension estimation algorithm,sdbc algorithm,2d textured images,sbc algorithm,exact fractal dimension,proposed algorithm,satisfactory result,simulation result,image texture,estimated value,shifting dbc algorithm,scanning bc algorithm,textured image,random number generation,information management,geometry,upper bound,shape,quantization | Fractal dimension,Pattern recognition,Fractal landscape,Image texture,Computer science,Fractal,Algorithm,Artificial intelligence,Estimation theory,dBc | Conference |
Volume | ISSN | ISBN |
3 | 1520-6149 | 0-7803-7041-4 |
Citations | PageRank | References |
3 | 0.49 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wen-Shiung Chen | 1 | 93 | 12.36 |
| Shang-Yuan Yuan | 2 | 20 | 2.27 |
| Hungkuei Hsiao | 3 | 20 | 1.19 |
| Chih-Ming Hsieh | 4 | 57 | 6.73 |