CAJ | 학술논문

提出了一种利用图像实现颗粒粮食中异物的检测方法.该方法根据异物特征,提出了基于斑点分析的方法,一次成像2次处理,剔除比正常颗粒亮和暗的异物.并基于Mil函数库开发的图象处理系统,将黑白斑点的2次提取处理用一个函数实现,再通过数学形态学的运算和斑点分析,快速地提取杂质的大小和所在位置.该方法具有速度快、精确度高等优点,可以推广到其他领域加以利用.
제출료일충이용도상실현과립양식중이물적검측방법.해방법근거이물특정,제출료기우반점분석적방법,일차성상2차처리,척제비정상과립량화암적이물.병기우Mil함수고개발적도상처리계통,장흑백반점적2차제취처리용일개함수실현,재통과수학형태학적운산화반점분석,쾌속지제취잡질적대소화소재위치.해방법구유속도쾌、정학도고등우점,가이추엄도기타영역가이이용.
A method on inspecting impurity in granular food based on digital images processing is proposed. This method is according to the characteristics of the impurity, the study puts forward a method based on blob analysis, which analyses an image twice, eliminates impurities that are brighter or darker than the normal particles. On the basis of Matrox Imaging Library, black and white blob are extracted with one function, and the position and the size of the impurities are calculated quickly through mathematical morphologic and blob analysis. The method has advantages with quick speed and high accuracy, can be extended and applied in other fields.