长形球形果蔬六像同时采集全表面检测系统的提出

Yuhki Shiraishi, F. Takeda
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引用次数: 2

摘要

到目前为止,大多数水果和蔬菜都是通过与标准表格进行视觉比较来手动分类的。人工分拣水果和蔬菜导致漫长而艰苦的工作,每次收获和分拣标准的个体差异。为了克服这些问题,我们提出了一套完整的果蔬表面检测系统,并对长形球形果蔬进行了统一的筛选标准。该系统由一个传感器驱动的独立传输系统构成,该系统将一个目标从一组目标中分离出来。利用六台摄像机对分离目标的整个表面进行采集后,利用采集到的图像分别检测目标的大小、形状和瘀伤。本文以红甜椒、绿甜椒和黄辣椒为研究对象,对该系统的检测能力进行了评价和分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proposal of whole surface inspection system by simultaneous six-image capture of prolate spheroid-shaped fruit and vegetables
Up to now, most fruit and vegetables are sorted manually by visual comparison with a standard table. Manual sorting of fruit and vegetables causes long and tough work every harvest and the individual difference of sorting criteria. To overcome the problems, we have proposed a whole surface inspection system of fruit and vegetables with uniform selection criteria especially for prolate spheroid-shaped ones. The proposed system is constructed by a sensor-driven independent conveyance system, which separates one target from the group of them. After the whole surface of the separated target is captured using six cameras, the size, the shape, and the bruise of the target are inspected by using the captured images, respectively. In this paper, the inspection ability of the proposed system is evaluated and analyzed by using red and green bell peppers and yellow paprika.
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