CAJ | 학술논문

主要研究了基于图像处理技术的黄瓜叶部病害识别诊断系统。该系统主要包括图像预处理模块、图像分割模块、图像特征提取模块及图像模式识别模块等。同时，对关键模块中的复杂背景下的图像分割及支持向量机的模式识别方式作了比较详细的介绍。实践表明，该系统能方便、快速地识别黄瓜各类病害，具有较好地推广性和应用价值。
주요연구료기우도상처리기술적황과협부병해식별진단계통。해계통주요포괄도상예처리모괴、도상분할모괴、도상특정제취모괴급도상모식식별모괴등。동시，대관건모괴중적복잡배경하적도상분할급지지향량궤적모식식별방식작료비교상세적개소。실천표명，해계통능방편、쾌속지식별황과각류병해，구유교호지추엄성화응용개치。
This paper mainly studied the identification and diagnostic system of cucumber leaf disease based on the image processing technology , including the image preprocessing module , image segmentation module , image feature extraction module and image pattern recognition module , etc .Then it gave a detailed description about image segmentation under the complex background of key modules as well as the SVM pattern recognition method .The practice shows that the sys-tem could easily and quickly identify cucumbers various diseases , which ensures its better promotion and application val-ue .