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arXiv 1505.03493cs.CV
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改进的Hausdorff分形维数(MHFD)

Modified Hausdorff Fractal Dimension (MHFD)

École de technologie supérieure (ETS), University of Quebec(魁北克大学高等技术学院)

Reza Farrahi Moghaddam, Mohamed Cheriet

摘要:

Hausdorff分形维数是一种快速计算分形形状复杂性的方法。在这项工作中,这个分形维数的修改版本,以使其更强大的应用时,估计非分形图像的复杂性。修改后的Hausdorff分形维数的立场上的两个功能,削弱了存在的形状的要求,也减少了输入图像中可能存在的噪声的影响。新算法已被评估一组不同字符的图像与有前途的性能。

英文摘要:

The Hausdorff fractal dimension has been a fast-to-calculate method to estimate complexity of fractal shapes. In this work, a modified version of this fractal dimension is presented in order to make it more robust when applied in estimating complexity of non-fractal images. The modified Hausdorff fractal dimension stands on two features that weaken the requirement of presence of a shape and also reduce the impact of the noise possibly presented in the input image. The new algorithm has been evaluated on a set of images of different character with promising performance.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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