中草药石楠叶片图像识别的研究  

Study on Image Recognition of Chinese Photinia Leaves

作　　者：张宝文[1] 陶佳[1] 李亮[1] ZHANG Bao-wen;TAO Jia;LI Liang(School of Information Science and Technology,Agricultural University of Hebei,Baoding 071000,China)

机构地区：[1]河北农业大学信息科学与技术学院,河北保定071000

出　　处：《河北农业科学》2018年第1期106-108,共3页Journal of Hebei Agricultural Sciences

基　　金：河北农业大学2017大学生创新创业训练计划项目(2017045)

摘　　要：本设计结合MATLAB图像工具箱以及数字图像处理技术,对中草药石楠叶片图像进行相关的图像形态处理,实施图像分割、边缘检测等大量的对比实验,完成了对中草药石楠叶片的异常与否的检测;运用MATLAB软件编程开发了叶片缺陷识别系统。Combining with MATLAB image toolbox and digital image processing technology,the related image morphological treatment to the leaves of Chinese photinia is designed. The contrast experiments such as image segmentation and edge detection are carried out. The detection on the abnormal leaves is completed. The identifi-cation system of leaves defect is developed by MATLAB software.

关 键 词：图像处理 MATLAB 叶片图像的边缘检测 石楠 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]