论文标题
用于自动化涡轮鱼切割的计算机视觉方法
Computer Vision Methods for Automating Turbot Fish Cutting
论文作者
论文摘要
本文是关于设计自动化机器以切割涡轮鱼标本的设计。机器视觉是该项目的关键部分，因为它用于计算标本头的切割曲线。这项任务是不可能通过机械手段执行的。机器视觉用于检测头部边界，并使用机器人切断头部。二进化和数学形态用于检测鱼类边界，随后对该边界进行了分析（使用Hough Transform和Hull Hull）来检测关键点，从而定义了切割曲线。之后，机械系统用于切片鱼，以便为最终消费者提供简单的介绍（因为鱼片比容易被销售和消耗的鱼片）。
This paper is about the design of an automated machine to cut turbot fish specimens. Machine vision is a key part of this project as it is used to compute a cutting curve for the specimen head. This task is impossible to be carried out by mechanical means. Machine vision is used to detect head boundary and a robot is used to cut the head. Binarization and mathematical morphology are used to detect fish boundary and this boundary is subsequently analyzed (using Hough transform and convex hull) to detect key points and thus defining the cutting curve. Afterwards, mechanical systems are used to slice fish to get an easy presentation for end consumer (as fish fillets than can be easily marketed and consumed).
