质心
阈值
计算机科学
重心
人工智能
微透镜
大津法
分割
计算机视觉
霍夫变换
职位(财务)
图像分割
光学
图像(数学)
镜头(地质)
物理
财务
经济
管理
作者
Meiyun Chen,Zhiyong Zhang,Heng Wu,Shengli Xie,Han Wang
标识
DOI:10.1016/j.optlaseng.2022.106968
摘要
We propose an Otsu-Kmeans gravity-based center extraction method for multi-spot images captured by the microlens array imaging system. We develop a 4-connected-region-based region of interest location method to recognize and segment light spot areas. We design an Otsu-Kmeans gravity-based threshold selection algorithm to realize the multi-spot center accurate position. Both numerical and actual experiments are implemented. The effectiveness and feasibility of the proposed method are validated by comparing with the results from the traditional centroid method, the Hough circle method, the Gaussian fitting method, and the Otsu thresholding centroid method. The results show that the proposed method can realize high-precision positioning and can be used for the sub-image segmentation of the microlens array imaging system.
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