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

共 50 条

[21] The study of chaotic algorithm characteristics using fractal analysis methods
Kolesov, V. V.
Potapov, A. A.
2005 15th International Crimean Conference Microwave & Telecommunication Technology, Vols 1 and 2, Conference Proceedings, 2005, : 330 - 331
[22] Surface Roughness Simulation Using Fractal Interpolation to the Profilogram
Macenaite, Loreta
Landauskas, Mantas
Pekarskas, Vidmantas Povilas
MATERIALS SCIENCE-MEDZIAGOTYRA, 2012, 18 (02): : 138 - 144
[23] Image segmentation using fractal characteristics
Bandrivskii, SA
Divin, GD
JOURNAL OF OPTICAL TECHNOLOGY, 1997, 64 (02) : 119 - 122
[24] Data analysis with fuzzy clustering methods
Doering, Christian
Lesot, Marie-Jeanne
Kruse, Rudolf
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2006, 51 (01) : 192 - 214
[25] Fractal Dimension Analysis of Surface Roughness for Paper and Paperboard
Lee Y.J.
Kang N.Y.
Cha J.E.
Lee J.M.
Lee D.Y.
Kim H.J.
Palpu Chongi Gisul/Journal of Korea Technical Association of the Pulp and Paper Industry, 2023, 55 (04): : 3 - 11
[26] Fractal dimension analysis of surface roughness of coated paper
Oh Y.-T.
Kim H.-W.
Kim H.-J.
Ko Y.-C.
Park J.-M.
Palpu Chongi Gisul/Journal of Korea Technical Association of the Pulp and Paper Industry, 2019, 51 (01): : 46 - 53
[27] Fractal Analysis of Surface Roughness of Particles in Porous Media
Cai Jian-Chao
Yu Bo-Ming
Zou Ming-Qing
Mei Mao-Fei
CHINESE PHYSICS LETTERS, 2010, 27 (02)
[28] Evaluation of surface roughness in incremental forming using image processing based methods
Gandla, Praveen Kumar
Inturi, Vamsi
Kurra, Suresh
Radhika, Sudha
MEASUREMENT, 2020, 164
[29] Quantitative analysis of fracture surface by roughness and fractal method
Li, Xiao Wu, 1600, Pergamon Press Inc, Tarrytown, NY, United States (33):
[30] Fuzzy clustering methods in multispectral satellite image segmentation
Sadykhov, Rauf Kh.
Dorogush, Andrey V.
Podenok, Leonid P.
ARTIFICIAL NEURAL NETWORKS AND INTELLIGENT INFORMATION PROCESSING, PROCEEDINGS, 2007, : 91 - 98

← 1 2 3 4 5 →