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
收藏
页码：304 / 316
页数：13
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