A Novel Method of Machine Vision Measurement Based on Sequential Partial Images

摘要

To realize the high-precision vision measurement for large scale machine parts, a vision measurement method based on dimension characteristics of sequential partial images is proposed. Firstly, the transition distribution modality of part image edges and its effects on measurement precision are analyzed. To get rid of the effects, a method of edge-pixel compensation is put forward, which availably improve measurement precision.Then, taken the dimension measurement of straight edge parts as prototype, a vision measurement method based on dimension characteristics of sequential partial images is introduced. By limiting the imaging area in the center position of the photosurface, the method can be used to measure large scale parts with small distortion images. It has the advantage of small accumulation of errors. The experiments shows: using the edge-pixel compensation method to measure general scale parts, the relative error is less than 0.008%; using the sequential image measurement method to gauge large scale straight-edge parts, the relative error is less than 0.01%. The measurement precision meets the need of the precise measurement for machine parts.