CAJ | 학술논문

不同等级的大豆外观质量与其内部营养等级存在一定关系，因此快速、精准地识别大豆病态种类至关重要。模式识别方法众多，本文采用随机森林方法进行研究。选取相应的大豆籽粒图像对其进行处理，从中挑选10幅图像，提取其形态特征，颜色特征，纹理特征，应用随机森林方法建立大豆外观品质识别模型，然后对大量样本进行试验。试验结果表明：不同种类病害大豆要想达到理想结果，训练步数各不同。该方法具有鲁棒性好、准确度高及系统稳定等特点。
불동등급적대두외관질량여기내부영양등급존재일정관계，인차쾌속、정준지식별대두병태충류지관중요。모식식별방법음다，본문채용수궤삼림방법진행연구。선취상응적대두자립도상대기진행처리，종중도선10폭도상，제취기형태특정，안색특정，문리특정，응용수궤삼림방법건립대두외관품질식별모형，연후대대량양본진행시험。시험결과표명：불동충류병해대두요상체도이상결과，훈련보수각불동。해방법구유로봉성호、준학도고급계통은정등특점。
There are certain relationship for different levels of soy appearance quality and their internal nutrition level.So it is very important for fast and accurate detection soybean appearance quality.And there are a lot of pattern recognition method, the article adopts random forests to study.It selects corresponding grains of soybean that make image process-ing , choose the 10 images and extract 8 morphological characteristics variables to establish soybean appearance test mod-el.It showed that if diseased soybean of different species need to achieve ideal result, it must make different training. That is concluded that this method is high accuracy and system stability finally.