基于数字图像的刀具磨损状态检测技术

采用数字图像分割和亚像素边缘检测等图像处理技术自动测量刀具磨损边界的磨损量并与刀具磨钝标准比较,判断刀具的磨损状态,实现刀具磨损状态的间歇式在线自动检测。针对刀具的边缘特征,运用了中值滤波、对比度拉伸、迭代自适应二值化、基于分水岭分割、Roberts边缘算子、图像匹配、Zernike正交矩边缘检测和曲线拟合等数字图像处理技术,完成了刀具磨损量微米级的高精度检测。

Tool Wear State Detection Technology Based on Digital Image

Images processing technologies were used of digital image segmentation and sub pixel edge detection. The boundaries of tool wear were measured automatically, and the amount of wear and blunt standard was compared to judge the wear condition of tool, achieving tool wear for intermittent automatic measurement on line. Aimed at edge features of the tools, the digital images processing technologies were used like median filter, contrast stretching, iterative adaptive binarization, based watershed segmentation, Roberts edge operator, image matching, zernike orthogonal moments and curve fitting, and etc. The detection of tool wear condition is completed with micron level high precision.