摘要
为准确判断灵芝子实体发育成熟程度,把握灵芝孢子粉的收集时间,准确判断灵芝生产过程中出芝阶段子实体的发育成熟程度,通过监控设备拍摄的灵芝图像,对灵芝的长势形态进行自动判断。采用图像增强算法提升了图像的清晰度,利用遗传算法寻找图像分割的最优阈值,从而将灵芝图像从原始采集图像中快速分离,得到了清晰完整的灵芝子实体图像,提高了传统阈值法的分割效率。
In order to accurately judge the growth and shape of Ganoderma lucidum in the fruiting stage of production process.The segmentation technology of G.lucidum image is studied.Image enhancement algorithm is used to improve the clarity of the image,and genetic algorithm is used to find the optimal threshold of image segmentation,so that the G.lucidum image can be quickly separated from the original collected image,and a clear and complete G.lucidum image can be obtained,which improves the efficiency of the traditional threshold method.
作者
袁雪霞
尹新富
YUAN Xue-xia;YIN Xin-fu(School of Information Engineering,Zhengzhou Institute of Finance and Economics,Zhengzhou 450000,China;Academic Affairs Office,Zhengzhou Institute of Finance and Economics,Zhengzhou 450000,China)
出处
《中国食用菌》
北大核心
2020年第3期10-12,共3页
Edible Fungi of China
关键词
灵芝
图像分割
图像增强
遗传算法
Ganoderma lucidum
image segmentation
image enhancement
genetic algorithm
