采用图像处理的胶囊尺寸缺陷检测方法  

Detection Method of Capsule Size Defect Using Image Processing

作　　者：刘孝星 郑力新 周凯汀[1] 吴哲 林立峰[1] 

机构地区：[1]华侨大学信息科学与工程学院,福建厦门361021 [2]华侨大学工学院,福建泉州362021

出　　处：《华侨大学学报（自然科学版）》2017年第5期716-720,共5页Journal of Huaqiao University(Natural Science)

基　　金：福建省科技厅资助项目(2013H2002)

摘　　要：针对透明胶囊的成像特点,提出一种实时性好、健壮性较强的结合阈值分割、腐蚀、轮廓提取及区域填充的图像提取算法.利用旋转和一阶差分分割胶囊本体,通过最小包围矩形测量胶囊的尺寸,并与公认标准进行对比,从而判别胶囊是否存在尺寸缺陷.实验结果表明:胶囊图像提取和尺寸缺陷识别算法的平均漏检率为6.38%,平均误检率为4.13%.In view of the characteristics of transparent capsule image,this paper proposed the image extraction algorithm combining with threshold segmentation,corrosion,contour extraction and region filling with good real-time and strong robustness.Then by using rotating and first-order difference divided capsule ontology,through the minimum bounding rectangle measured the size of capsule,compared with generally accepted standards we can distinguish whether capsule exists size defect.The experimental results show that：the average missing rate of capsule image extraction and the size defect recognition algorithm was 6.38%,the average error rate was 4.13%.

关 键 词：尺寸缺陷 胶囊 图像处理 区域分割 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]