EVALUATING SHAPE ROUGHNESS USING FRACTAL DIMENSIONS | ||||
| The International Conference on Electrical Engineering | ||||
| Article 29, Volume 2, 2nd International Conference on Electrical Engineering ICEENG 1999, November 1999, Page 264-277 PDF (2.77 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.1999.62509 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| M. SHAARAWY IBRAHIM | ||||
| Associate professor, Dpt. Of Computer & O.R., Military Technical College, Cairo, Egypt. | ||||
| Abstract | ||||
| Fractal dimensions provide an objective means for comparing fractals. They are important because they can be derived from real world data, and they can be measured approximately by means of experiments. Also, they may be viewed as measurement of the shape roughness. In this work, three algorithms for evaluation of fractal dimensions are implemented. These algorithms are based on box counting approach. A comparison is made between the results of these algorithms when evaluating the fractal dimensions of some computer-generated surfaces. These surfaces are of different fractal dimensions. The results showed that the fractal dimension could be used for measuring the shape roughness with an acceptable accuracy. The results showed also that there are significant differences between these methods in accuracy, stability, reliability and the needed time for computation. | ||||
| Keywords | ||||
| Fractal Dimensions; Box Counting; Self-Similarity; Divider Dimension; Shape Roughness | ||||
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