TY - GEN
T1 - A method for extracting the center of ring-structured-light stripe
AU - Huiwen, Leng
AU - Chunguang, Xu
AU - Zhongwei, Feng
AU - Dingguo, Xiao
PY - 2008
Y1 - 2008
N2 - Extracting stripe center accurately is very important in 3D measurement with structured light. A new method for extracting the center of ring-structured-light stripe has been proposed, which combines morphological thinning with improved barycenter method. Convert the original gray-scale image to a binary one, in which stripe stroke at pixel-level can be obtained by morphological thinning. Then the center of ring faculae is gained by curve fitting using the least squares method. Consider the directions pointing from the ring faculae center to every stroke point as normal directions of stripe center locus at its corresponding points. Along each normal direction, barycenter method is applied to the preprocessed grayscale image. Compared to other stripe center extracting algorithms, the proposed method benefits from its simple intensity segmentation and no curve fitting for the curvature. Experiments show that it can meet industrial real-time applications for its rapidity as well as its subpixel level accuracy.
AB - Extracting stripe center accurately is very important in 3D measurement with structured light. A new method for extracting the center of ring-structured-light stripe has been proposed, which combines morphological thinning with improved barycenter method. Convert the original gray-scale image to a binary one, in which stripe stroke at pixel-level can be obtained by morphological thinning. Then the center of ring faculae is gained by curve fitting using the least squares method. Consider the directions pointing from the ring faculae center to every stroke point as normal directions of stripe center locus at its corresponding points. Along each normal direction, barycenter method is applied to the preprocessed grayscale image. Compared to other stripe center extracting algorithms, the proposed method benefits from its simple intensity segmentation and no curve fitting for the curvature. Experiments show that it can meet industrial real-time applications for its rapidity as well as its subpixel level accuracy.
UR - https://www.scopus.com/pages/publications/62949167362
U2 - 10.1109/IITA.2008.161
DO - 10.1109/IITA.2008.161
M3 - Conference contribution
AN - SCOPUS:62949167362
SN - 9780769534978
T3 - Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
SP - 906
EP - 910
BT - Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
T2 - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Y2 - 21 December 2008 through 22 December 2008
ER -