AN EFFICIENT DIFFERENTIAL BOX-COUNTING APPROACH TO COMPUTE FRACTAL DIMENSION OF IMAGE

被引：647

作者：

SARKAR, N

CHAUDHURI, BB

机构：

[1] Electronics and Communication Sciences Unit, Indian Statistical Institute, Calcutta

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS | 1994年 / 24卷 / 01期

关键词：

D O I：

10.1109/21.259692

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Fractal dimension is an interesting feature proposed recently to characterize roughness and self-similiarity in a picture. This feature has been used in texture segmentation and classification, shape analysis and other problems. An efficient differential box-counting approach to estimate fractal dimension is proposed in this note. By comparison with four Other methods, it has been shown that our method is both efficient and accurate. Practical results on artificial and natural textured images are presented.

引用

页码：115 / 120

页数：6

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