发芽
胚根
向日葵
葵花籽
人工智能
机器视觉
计算机视觉
图像处理
计算机科学
种子检验
模式识别(心理学)
图像(数学)
植物
园艺
生物
作者
Sylvie Ducournau,A. Feutry,Patrick Poulichet,P. Revollon,Bertrand Vigouroux,Marie-Hélène Wagner
标识
DOI:10.1016/j.compag.2004.04.005
摘要
This paper presents a machine vision system designed to count the number of emergent radicle tips on seedlots, under controlled lighting, temperature and hygrometric conditions. The automated acquisition system employs an algorithm which works in two steps, in a totally unsupervised way. The first step consists of a classification procedure which makes it possible to transform colour images to binary images (seeds in white, background in black). In the second step, counting of the germinated seeds is performed, providing the mean germination time (MGT). The method was validated by comparing the results supplied by the system to those evaluated by expert technicians, on sets of sunflower seeds.
科研通智能强力驱动
Strongly Powered by AbleSci AI