现代电子技术
現代電子技術
현대전자기술
MODERN ELECTRONICS TECHNIQUE
2015年
8期
4-7
,共4页
烟叶病害%自适应中值滤波%快速模糊C-均值聚类%模糊识别
煙葉病害%自適應中值濾波%快速模糊C-均值聚類%模糊識彆
연협병해%자괄응중치려파%쾌속모호C-균치취류%모호식별
tobacco disease%adaptive mean filtering%fast fuzzy C-means clustering%fuzzy recognition
为快速有效地诊断识别烟叶病害，提高烟草病害诊断水平，首先采用自适应中值滤波技术对采集的角斑病和野火病图像进行去噪处理，然后采用快速模糊C?均值聚类算法对病斑进行分割，最后提取烟叶病斑颜色、形状和纹理方面的特征，采用模糊识别技术对病害进行自动识别。实验测试表明，该模型对病害样本进行处理识别的正确率较高，能够满足生产的实际需求。
為快速有效地診斷識彆煙葉病害，提高煙草病害診斷水平，首先採用自適應中值濾波技術對採集的角斑病和野火病圖像進行去譟處理，然後採用快速模糊C?均值聚類算法對病斑進行分割，最後提取煙葉病斑顏色、形狀和紋理方麵的特徵，採用模糊識彆技術對病害進行自動識彆。實驗測試錶明，該模型對病害樣本進行處理識彆的正確率較高，能夠滿足生產的實際需求。
위쾌속유효지진단식별연협병해，제고연초병해진단수평，수선채용자괄응중치려파기술대채집적각반병화야화병도상진행거조처리，연후채용쾌속모호C?균치취류산법대병반진행분할，최후제취연협병반안색、형상화문리방면적특정，채용모호식별기술대병해진행자동식별。실험측시표명，해모형대병해양본진행처리식별적정학솔교고，능구만족생산적실제수구。
To diagnose and identify tobacco diseases quickly and effectively,and improve the diagnostic level of tobacco dis?eases,the adaptive median filtering technology is used to perform the noise removal of the collected images of tobacco angular leaf spot and wildfire,the fast fuzzy C?means clustering algorithm is adopted to segment the lesion,and then the fuzzy recogni?tion technology is used for the Auto?Recognition of the disease according to the characteristics of color,shape and texture of to?bacco spot disease. Test results show the model has high recognition rate for the disease samples,and can meet the actual pro?duction requirements.
