@inproceedings{9950d948c1004ae898ece47ea7e5a566,
title = "Fractional box-counting approach to fractal dimension estimation",
abstract = "The estimation of the fractal dimension is essential in fractal-based image segmentation, classification and shape analysis. The most popular estimation approach is based on box-counting. However, the partition and counting methods used in the regular box-counting scheme produces inaccurate results. In this paper, a more accurate fractional box-counting approach is proposed to estimate the fractal dimension in an image. By separating the concepts of base scale and counting scale, the new approach is able to use a deformable box to capture fractal property at some predetermined resolution. Preliminary results using the fractional box-counting approach have demonstrated that it is an accurate and efficient method.",
author = "Jie Feng and Lin, {Wei Chung} and Chen, {Chin Tu}",
year = "1996",
month = jan,
day = "1",
doi = "10.1109/ICPR.1996.547197",
language = "English (US)",
isbn = "081867282X",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "854--858",
booktitle = "Track B",
address = "United States",
note = "13th International Conference on Pattern Recognition, ICPR 1996 ; Conference date: 25-08-1996 Through 29-08-1996",
}