Surface Roughness Image Analysis using Quasi-Fractal Characteristics and Fuzzy Clustering Methods

Authors

  • Tiberiu Vesselenyi University of Oradea Universitatii St. 1, 410087, Oradea, Romania
  • Ioan Dzitac Department of Economics Agora University of Oradea Piata Tineretului 8, Oradea 410526, Romania
  • Simona Dzitac University of Oradea Universitatii St. 1, 410087, Oradea, Romania
  • Victor Vaida University of Oradea Universitatii St. 1, 410087, Oradea, Romania SC Electrocentrale Deva SA Str. Santierului, nr.1, Mintia, Romania

Keywords:

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

Abstract

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.

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Published

2008-09-01

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