A new method for processing algorithm to recognition of the profile of micro-mills

P. Pivkin, I. Minin, A. Ershov, V. Voronin, M. Volosova, V. Kuznetzov, A. Nadykto
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引用次数: 0

Abstract

Modern methods of control geometry parameters of cutting tools often incorporate measuring operations performed using high-precision CCD cameras which work on the contrast-detection method. The key advantages of this method are the high speed of measurements, the simplicity of using general method on modern CNC measuring systems and a wide range of possibilities for controlling profile locations of surfaces. However, using this method largely depends on the resolution of the camera's ability and the size of the controlled area, which in turn imposes significant restrictions on the measurement of surface areas which are less than 10% of the frame area. This paper proposes a new way to measure the area of profile section of microtool surfaces, based on the identifying of a focused area throughout the entire frame area. This method makes it possible to recognize the nature of the focus distribution at different camera positions, which in turn makes it possible to measure the area of profile section of microtool surfaces when the size of the controlled area is less than 10% of the frame size to use the contrast autofocus method to incomparably increase.
一种新的加工算法用于微铣刀型面识别
控制刀具几何参数的现代方法通常包括使用高精度CCD相机进行的测量操作,该相机采用对比度检测方法。该方法的主要优点是测量速度快,在现代数控测量系统上使用一般方法的简单性以及控制表面轮廓位置的广泛可能性。然而,使用这种方法在很大程度上取决于相机的分辨率能力和控制区域的大小,这反过来又对小于帧面积10%的表面积的测量施加了很大的限制。提出了一种基于识别整个框架区域的聚焦区域来测量微刀具表面轮廓截面面积的新方法。该方法使得识别不同相机位置的焦点分布性质成为可能,从而使得在控制区域小于帧尺寸的10%时测量微刀具表面的轮廓截面面积成为可能,使用对比度自动对焦方法可以无可比拟地增加。
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34
审稿时长
9 weeks
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