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作 者:季颖[1] 韦鑫宇 张明明[2] 王亚伟[1] Ji Ying;Wei Xinyu;Zhang Mingming;Wang Yawei(School of Physics and Electronic Engineering,Jiangsu University,Zhenjiang,Jiangsu 212013,China;School of Mechanical Engineering,Jiangsu University,Zhenjiang,Jiangsu 212013,China)
机构地区:[1]江苏大学物理与电子工程学院,江苏镇江212013 [2]江苏大学机械工程学院,江苏镇江212013
出 处:《激光与光电子学进展》2022年第6期363-372,共10页Laser & Optoelectronics Progress
基 金:江苏大学农业装备学部项目(NZXB20200215);国家自然科学基金(11874184)。
摘 要:针对如何在相位分布图中选取合适边缘采样点的问题,基于相位成像理论和实验分析了不同处理方案的优缺点并提出了采样策略。结合相位成像机理,采用基于梯度的几类经典边缘检测算子分析了采样特征点位置不确定性的来源及其对检测结果的影响。选取形态结构复杂程度不同的实际样品开展实验研究,对比分析不同采样点位置选取对样本尺寸计算结果的影响,对多种误差产生的原因进行了分析,给出了其理论上的关联和解释。综合多组实验数据对比分析的结果,总结出了适合不同复杂程度样品的形态结构特征提取方案,其处理效率能够满足快速实时检测的需要。To address the problem of how to select appropriate edge sampling points in the phase distribution map,in this paper,we analyze the advantages and disadvantages of different processing schemes and propose a sampling strategy based on phase imaging theory and experiments.Combined with the phase imaging mechanism,several gradient-based classical edge detection operators were used to analyze the source of uncertainty in the position of sampling feature points and its influence on the detection results.Actual samples showing a morphological structure with different complexities were selected to conduct experimental research.Furthermore,the influence of different sampling points on the sample size calculation results was compared and analyzed.Subsequently,the causes of various errors were investigated and their theoretical correlation and explanation were presented.Based on the results of a comparative analysis of multiple groups of experimental data,a morphological structure feature extraction scheme suitable for samples with different complexities was proposed.The processing efficiency of this scheme can meet the needs of a rapid real-time detection.
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