摘要
通过动态时间规整算法实现在没有训练集的情况下,对比药用植物叶片进行药用植物的识别与鉴定。该方法较机器学习模式实现更加简单,可以应用在基础的药用植物分类学习过程中,具有较高的实际应用价值。
The dynamic time warping algorithm was used to recognition and identify medicinal plants by comparing the leaves of medicinal plants without training set.The method is simpler than machine learning mode,and can be applied in the process of basic medicinal plant classification learning.It has high practical application value.
作者
丁常宏
高鹏
DING Chang-hong;GAO Peng(School of Pharmacy,Heilongjiang University of Traditional Chinese Medicine,Harbin Heilongjiang 150040,China;Post-doctoral Mobile Station of Chinese Medicine,Heilongjiang University of Traditional ChineseMedicine,Harbin Heilongjiang 150040,China;School of Computer Science and Technology,HarbinEngineering University,Harbin Heilongjiang 150001,China;Heilongjiang Radio and Television Station,HarbinHeilongjiang 150090,China)
出处
《中医药导报》
2019年第11期63-66,共4页
Guiding Journal of Traditional Chinese Medicine and Pharmacy
基金
黑龙江省自然科学基金面上项目(C2016053)
黑龙江中医药科研项目(2018hljzyzypc-21)
黑龙江中医药大学科研基金项目(035128)
