一种改进的植物叶片病斑区域边缘提取技术  

An improved edge extraction technology of the plant leaf disease region

作　　者：夏永泉[1] 曾莎[1] 李耀斌[1] 

机构地区：[1]郑州轻工业学院计算机与通信工程学院,河南郑州450001

出　　处：《郑州轻工业学院学报（自然科学版）》2015年第1期67-70,共4页Journal of Zhengzhou University of Light Industry:Natural Science

基　　金：国家自然科学基金项目(61302118);河南高校青年骨干教师资助计划(2010GGJS-114)

摘　　要：针对传统Canny算子边缘检测时容易丢失边缘细节的缺陷,提出了一种改进的植物叶片病斑区域边缘提取技术.运用最大类间方差法对病害图像进行二值化,添加对两个斜方向上梯度信息的提取,更加完整地保存了梯度信息,从而得到更完整的边缘图像.实验结果表明,本文方法能够有效地滤除图像中的噪声,检测到细节梯度,去除伪边缘和噪声边缘,得到更加精确的病斑区域边缘.Aiming at the defect that the traditional Canny operator edge detection easily lost the edge de-tails,an improved technology was developed to extract the edges of the leaf disease region.More complete gradient information was preserved by using Otsu to binary plant disease images and adding on two oblique directions gradient information extraction,so as to get a more complete edge image.The experimental re-sults showed that this method could effectively filter out noise in the image and detect the details of the gra-dient,remove the false edges and noise edges and get the lesion edges more accurately.

关 键 词：植物叶片病斑区域 边缘检测 最大类间方差法 梯度计算 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]