CAJ | 학술논문

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。
침대전통Canny산자변연검측시용역주실변연세절적결함，제출료일충개진적식물협편병반구역변연제취기술。운용최대류간방차법대병해도상진행이치화，첨가대량개사방향상제도신식적제취，경가완정지보존료제도신식，종이득도경완정적변연도상。실험결과표명，본문방법능구유효지려제도상중적조성，검측도세절제도，거제위변연화조성변연，득도경가정학적병반구역변연。
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.