Surface roughness image analysis using quasi-fractal characteristics and fuzzy clustering methods

被引：14

作者：

Vesselenyi, Tiberiu ^{[1
]}

Dzitac, Ioan ^{[2
]}

Dzitac, Simona ^{[1
]}

Vaida, Victor ^{[1
]}

机构：

[1] Univ Oradea, Oradea 410087, Romania

[2] Agora Univ Oradea, Dept Econ, Oradea 410526, Romania

来源：

INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL | 2008年 / 3卷 / 03期

关键词：

image processing; surface roughness; quasi-fractal parameters; fuzzy clustering;

D O I：

10.15837/ijccc.2008.3.2398

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper the authors describe the results of experiments for surface roughness image acquisition and processing in order to develop an automated roughness control system. This implies the finding of a characteristic roughness parameter (for example Ra) on the bases of information contained in the image of the surface. To achieve this goal we use quasi-fractal characteristics and fuzzy clustering methods.

引用

页码：304 / 316

页数：13

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