基于MATLAB的柑橘病虫害图像分割算法的研究  

Research on Image Segmentation Algorithm of Citrus Pests and Diseases Based on MATLAB

作　　者：胡磊 胡蓉[2] 赵全友[2] 邓雄昌 

机构地区：[1]湖南科技学院电子与信息工程学院,湖南永州425199 [2]湖南科技学院,湖南永州425199

出　　处：《大众科技》2020年第11期9-11,共3页Popular Science & Technology

基　　金：湖南省2018年度重点研发计划资助项目(2018NK2063);湖南科技学院应用特色学科建设项目资助。

摘　　要：病虫害对我国柑橘产量有着很大的影响,文章针对柑橘病虫害中常见的溃疡病和炭疽病进行分割研究。根据不同病虫害图像的特点,选取五种常用边缘检测算子对柑橘溃疡病进行分割,以及七种阈值分割方法对柑橘炭疽病进行分割。MATLAB仿真实验结果表明,Canny算子更适于处理柑橘溃疡病,局部阈值法更适于处理柑橘炭疽病。Pests and diseases have a great impact on the yield of citrus in China.This paper studies the division of ulcer and anthrax,which are common in citrus diseases and pests.According to the characteristics of different pest images,five commonly used edge detection operators were selected to segment citrus ulcer disease,and seven threshold segmentation methods were selected to segment citrus anthrax.The simulation results of MATLAB show that Canny operator is more suitable for treating citrus ulcer and local threshold method is more suitable for citrus anthrax.

关 键 词：柑橘病虫害 图像分割 边缘检测 阈值分割 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]