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Extraction of Geometric Features of Wear Particles in Color Ferrograph Images Based on RGB Color Space

机译:基于RGB颜色空间的彩色铁谱图像中磨损颗粒的几何特征提取

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摘要

This paper analyzes the potential color formats of ferrograph images, and presents the algorithms of converting the formats to RGB(Red, Green, Blue) color space. Through statistical analysis of wear par-ticles' geometric features of color ferrograph images in the RGB color space, we give the differences of ferro-graph wear panicles' geometric features among RGB color spaces and gray scale space, and calculate their respective distributions.
机译:本文分析了铁磁图像的潜在颜色格式,并提出了将这些格式转换为RGB(红色,绿色,蓝色)颜色空间的算法。通过对RGB彩色空间中彩色铁谱图像的磨损颗粒几何特征的统计分析,给出了RGB彩色空间和灰度空间中铁谱磨损穗的几何特征的差异,并计算出它们各自的分布。

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