摘要
为准确、快速测量树木年轮信息,提出了基于灰度图像的峰谷年轮识别方法。首先把圆盘彩色图像转换成灰度图像,再把二维灰度图像数据转化为一维灰度补码数据,最后使用峰谷年轮识别算法对一维灰度图像的补码数据进行处理,获取树木年龄及年轮宽度信息。结果表明:峰谷年轮识别算法预测树木年龄精度和年轮宽度精度高达90%。该算法易于理解,为获取圆盘图像年轮信息提供一种简单、可行的方法。
In order to measure tree-ring information accurately and quickly,a peak-valley tree-ring recognition method based on gray image is proposed.Firstly,the disc color image is converted into gray image.Then the two-dimensional gray data is converted into one-dimensional gray complement data.Finally,the peak-valley tree-ring recognition algorithm is used to obtain the information of tree age and tree-ring width from the one-dimensional gray complement data.The results show that the accuracy of peak-valley tree-ring recognition algorithm in predicting tree age and tree-ring width is up to 90%.The algorithm is easy to understand and provides a simple and feasible method for obtaining the information of tree-rings from disk image.
作者
姚建峰
郭旭展
宋新宇
王静贤
祁柯
代琪琦
YAO Jianfeng;GUO Xuzhan;SONG Xinyu;WANG Jingxian;QI Ke;DAI Qiqi(College of Computer and Information Technology,Xinyang Normal University,Xinyang 464000,China;College of Mathematics and Statistics,Xinyang Normal University,Xinyang 464000,China)
出处
《信阳师范学院学报(自然科学版)》
CAS
北大核心
2022年第3期475-480,共6页
Journal of Xinyang Normal University(Natural Science Edition)
基金
国家自然科学基金项目(32071761)
河南省科技发展计划项目(212102110209)
河南省高等学校重点科研项目(22A220002)。
关键词
圆盘图像
年轮
峰谷算法
年轮宽度
disk image
tree-rings
peak-valley algorithm
tree-ring width