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基于图像方法的水滴特征分布检测
引用本文:崔晓军,王亮玲.基于图像方法的水滴特征分布检测[J].济宁师范专科学校学报,2010,31(3):18-20.
作者姓名:崔晓军  王亮玲
作者单位:崔晓军,CUI Xiaojun(济南大学理学院,山东,济南,250022);王亮玲,WANG Liangling(济宁学院物理与信息工程系,山东,曲阜,273155) 
摘    要:获得并分析塑料薄膜上的水滴特征(如周长和面积)分布对优化温室内农作物生长条件具有重要意义。提出利用图像方法对水滴特征分布进行检测,该方法依据水滴灰度分布特点结合数学形态学理论完成目标区域分割,然后经过目标区域的粘连分割处理,最后完成水滴特征分布统计。针对塑料薄膜上的水滴图像样本进行实验,结果表明该方法较好解决了水滴的灰度分布差异所造成的分割困难问题,检测效果令人满意。

关 键 词:目标检测  图像处理  数学形态学

Detection of Water-drop Characteristic Distribution Based on the Image Method
CUI Xiaojun,WANG Liangling.Detection of Water-drop Characteristic Distribution Based on the Image Method[J].Journal of Jining Teachers College,2010,31(3):18-20.
Authors:CUI Xiaojun  WANG Liangling
Institution:1.School of Science,University of Jinsan,Jinan 250022,China; 2.Department of Physics and Information Engineering,Jining University,Qufu 273155,China)
Abstract:Obtain and analysis plastic film water-drop characteristic(for example perimeter and area) distributes to optimizes in the greenhouse the crops growth condition is important.Propose carries on detection using image method to water-drop characteristic distribution,this method complete the object region segmentation based on the water-drop gradation distribution characteristic union mathematics morphology theory,then process object region adhesion segmentation,finally complete the water-drop characteristic distribution statistics.Carries on the experiment in view of the plastic film on water-drop image sample,indicate the method better solved the division difficult problem,which the water-drop gradation distribution difference created,the detection effect is satisfying.
Keywords:object detection  image processing  mathematics morphology
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