基于线激光轮廓传感器的鱼体表面重构技术与误差分析

Fish Surface Reconstruction Technology Based on Line Profile Sensors and Error Analysis

为提高鱼体切割水产品加工设备的智能化程度,提出一种基于线激光轮廓传感器的鱼体表面扫描与重构技术并进行误差分析。针对线激光轮廓传感器扫描垂直边缘时,输出点云数据模糊,存在表面重构偏差问题,提出一种"边缘对折,单边滚动平滑"算法,实现鱼体重构的轮廓优化。通过该算法对标准块和鱿鱼块进行三维重构试验,结果表明该算法可有效减少边缘误差,提高表面重构精度。

In order to improve the intelligent level of fish cutting equipment, propose a fish surface scanning and reconstruction technology based on the line laser sensor, and analyze the error. Aiming at the problem that the output point cloud data unclear and the surface reconstruction error when the line laser sensor scans the vertical edge, an algorithm of "edge fold in half, single side rolling smooth" was proposed to realize the contour optimization of fish body reconstruction. The results showed that the algorithm could effectively reduce the edge error and improve the surface reconstruction accuracy.