Adaptive threshold selection for background removal in fringe projection profilometry

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• 作者：Wei Zhang^a ; Weishi Li^a ; Jianwen Yan^b ; Liandong Yu^a ; ^{liandongyu@hfut.edu.cn} ; Chengliang Pan^a
• 关键词：3D scanning ; Fringe projection ; Segmentation ; Adaptive thresholding
• 刊名：Optics and Lasers in Engineering
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：90
• 期：Complete
• 页码：209-216
• 全文大小：1187 K
• 卷排序：90

文摘

In fringe projection profilometry, an adaptive threshold selection method for segmenting background and shadow points is firstly proposed in this paper. Different from the existing automatic methods, the modulation-level histogram, instead of the gray-level histogram, of the image is employed to determine the threshold. A new weighting factor is proposed to improve Otsu’s method, which significantly intensifies the modulation difference between the object pixels and the background/shadow pixels. The proposed method outperforms existing methods either in accuracy, efficiency or automation.