Clustering segmentation fractal interpolation on nonlinear curves

Chih Chin Huang, Shu Chen Cheng, Yueh Min Huang

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)

摘要

General fractal interpolation cannot deal with data concerning the features of closed curves, and the production or reconstruction of similar natural formations usually consumes a lot of resources and time, herein we propose Clustering Segmentation Fractal Interpolation (CSFI) to enhance the efficiency of data interpolation, especially for closed curves. Furthermore, we propose Affine-Distance Function Selection (ADFS) to reduce the iterations in order to achieve faster interpolation. Our series of experiments has demonstrated that the combination of the two methods increases the efficiency of CSFI by 57-97% and that of ADFS by 62-84%. The higher efficiency enhances the entire process with obvious effects.

原文English
頁(從 - 到)163-173
頁數11
期刊Fractals
19
發行號2
DOIs
出版狀態Published - 2011 六月

All Science Journal Classification (ASJC) codes

  • 建模與模擬
  • 幾何和拓撲
  • 應用數學

指紋

深入研究「Clustering segmentation fractal interpolation on nonlinear curves」主題。共同形成了獨特的指紋。

引用此