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%.
出处
《华侨大学学报(自然科学版)》
北大核心
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)
关键词
尺寸缺陷
胶囊
图像处理
区域分割
size defect
capsule
image processing
region segmentation