CAJ | 학술논문

针对小麦叶部病害智能识别系统，提出了基于颜色、纹理和形状特征的特征提取方法。首先，针对 RGB和HIS颜色空间，定义这两种颜色空间的转换公式，并提取14个颜色特征；其次，利用灰度共生矩阵方法得到16个纹理特征；再次，借助于不变距理论获取13个形状特征；最后，以4种小麦叶部病害为研究对象进行试验。结果表明：本文提出的特征提取方法，系统识别率较高，符合实际应用的要求。
침대소맥협부병해지능식별계통，제출료기우안색、문리화형상특정적특정제취방법。수선，침대 RGB화HIS안색공간，정의저량충안색공간적전환공식，병제취14개안색특정；기차，이용회도공생구진방법득도16개문리특정；재차，차조우불변거이론획취13개형상특정；최후，이4충소맥협부병해위연구대상진행시험。결과표명：본문제출적특정제취방법，계통식별솔교고，부합실제응용적요구。
In order to resolve the problem of not taking into account color , texture and shape features in crop disease in-telligent recognition systems , feature extraction method based on three feature types was proposed .Two types of color spaces such as RGB and HIS were considered , and the transformation formula of the two color spaces was improved . Then fourteen color features were defined and extracted .Meanwhile sixteen texture features were defined and extracted based on gray level co-occurrence matrix .And thirteen shape features were defined and extracted based on invariant mo-ment theory .Finally the feature dataset was received which was suitable for identifying four types of wheat leaf diseases . The results show that the system recognition rate is relatively high , and can meet the practical application requirements .