We often fall across a problem of vertex recognition in the process of image measure, for example, to detect length of 2d image, area and some workpiece index.
图像检测中对2d图像的长度、面积测量，以及工件的某些指标的计算，常常会遇到顶点识别问题。
During the system design, this paper USES the way of orthogonal Fourier-Mellin moments to extract the image feature, and this conducts the reliable recognition of mechanical workpiece.
在不变性模式识别系统设计中，本文采用正交傅立叶-梅林矩提取图像特征的方法，实现了零件形状的可靠识别。
Based on the theory of neural networks, fuzzy clustering algorithm and adaptive pattern recognition, the method can be used to classify and design the sample workpiece automatically.
该方法借鉴了神经网络理论、模糊聚类算法和自适应模式识别法的优点，自动完成样本的分类与样件设计工作。
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