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A computer vision-based method for detecting the size of a crankshaft

This invention relates to the field of computer vision, and more particularly to a crankshaft dimension detection method based on computer vision. The method includes: acquiring original crankshaft images from different viewpoints and performing image preprocessing to extract the crankshaft contour; identifying crankshaft contour feature points based on the contour and constructing a crankshaft contour feature point set; calculating preliminary dimensions based on the crankshaft contour feature points; and introducing a geometric dynamic projection correction algorithm to optimize the preliminary dimensions, obtaining optimized crankshaft dimensions. This method solves the problems of inaccurate crankshaft dimension measurement due to projection distortion in traditional multi-view image acquisition processes; the inability of conventional image processing techniques to effectively extract accurate geometric features due to uneven lighting and noise interference on the crankshaft surface; and the failure of traditional methods to fully consider projection distortion at each viewpoint, thus failing to achieve reasonable dimension optimization.
Owner:CHANGZHOU GUANGXING PRECISION MASCH CO LTD