摘要
Abstract
In recent years,machine vision recognition is still kept a hot topic.and skeleton is a simplified description method based on the features of object shape.Obtaining an ideal object skeleton is of great significance.The visual recognition of the grab bucket skeleton of ship unloader is an important factor for fully automatic grab bucket unloader achieving the preset goal.Machine vision recognition applies to non-linear data,that is,the recognition object and background change over time.As a representation of the shape of an object,skeleton has many advantages in comparison with contour description method.This method associates the shape features of the object with the maximum arc,trunk,etc.,which facilitates the preservation and reconstruction of the target shape.Overall,the success rate of identifying the grab bucket skeleton of ship unloader has been significantly improved based on Voronoi algorithm.关键词
机器视觉/抓斗骨架识别/Voronoi算法/桥式全自动卸船机/轮廓特征/轮廓起始点配准Key words
machine vision/grab skeleton recognition/Voronoi algorithm/fully automatic bridge-type ship unloader/contour features/contour start-point registration分类
信息技术与安全科学
