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Extraction of Geometric Features of Wear Particles in Color Ferr ograph Images Based on RGB Color Space 被引量:1

Extraction of Geometric Features of Wear Particles in Color Ferr ograph Images Based on RGB Color Space
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摘要 This paper analyzes the potential color f ormats of ferrograph images, and presents the algorithms of converting the forma ts to RGB(Red, Green, Blue) color space. Through statistical analysis of wear pa rticles′ geometric features of color ferrograph images in the RGB color space, we give the differences of ferrograph wear particles′ geometric features among RGB color spaces and gray scale space, and calculate their respective distributi ons. This paper analyzes the potential color f ormats of ferrograph images, and presents the algorithms of converting the forma ts to RGB(Red, Green, Blue) color space. Through statistical analysis of wear pa rticles′ geometric features of color ferrograph images in the RGB color space, we give the differences of ferrograph wear particles′ geometric features among RGB color spaces and gray scale space, and calculate their respective distributi ons.
出处 《International Journal of Plant Engineering and Management》 2003年第3期171-178,共8页 国际设备工程与管理(英文版)
关键词 ferrograph image RGB image gray image geometri c feature. ferrograph image, RGB image, gray image, geometri c feature.
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参考文献5

  • 1N. Sochen and Y. Y. Zeevi.Representation of colored images by manifolds embedded in higher dimensional non-Euclidean space[]..1998
  • 2Kenneth R.Castleman, Digital Image processing[]..1998
  • 3G. M. Chen,et al.Digital signal and image processing with MATLAB[]..2001
  • 4J. G. Sun,et al.Computer graphics[]..1995
  • 5T. B. Kirk.Computer image analysis of wear debris for machine condition monitoring and fault diagnosis[].Wear.1995

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