Recognizing a chip on edge of a cutting tool by Hough transform
Recognizing a chip on edge of a cutting tool by Hough transform
复制标题
利用霍夫变换识别切削刀具刃口切屑
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
M. Konishi
中科院分区：
文献类型：
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作者：
J. Fujii;M. Konishi
传统上，完成的切削刀具由人眼检查。大多数缺陷是微小的，需要用显微镜检查。因此，这是一项非常繁重的工作，为了减轻人力负担，需要自动测试系统。本研究的目的是利用图像处理技术开发一套边缘芯片识别系统。作为预处理方法，对彩色图像进行灰度化、二值化、Prewitt滤波和Hough变换提取边缘。这些程序在所开发的测试系统中得以实现，并进行边缘检测，为了确定效果，除了判断是否有芯片外，还对芯片上的芯片数量进行了估计。并利用神经网络对异常切屑、断边和表面缺陷进行了识别。
Conventionally, finished cutting tools are checked by human eyes. Most of the defects are minute and it is needed to be checked with a microscope. Therefore, it is a very labourous work.To lighten human load, the automatic testing system is required. The aim of this research is the development of a recognizing system for a chip on the edge by using image processing. As the preprocessing methods, a color image of the edge is analized through grayscaling, binarization, extraction of the outline by Prewitt-filter and Hough transformation. These procedures are developed and realized in the developed testing system to make the edge detection.To ascertain the effect, estimation of the amount of a chip on the egde is made not only the judgement if it has a chip or not. And using Neural Network, an abnormal chip, a broken edge and a surface defect are recognized.