Extraction Method of Light Stripe Center Based on the Matching of Adjacent Pixels of Skeleton

doi:10.12068/j.issn.1005-3026.2023.11.002

Abstract

Abstract: An method of the line-structured light stripe center extraction based on the matching of adjacent pixels of skeleton is proposed. The traditional method is improved in the phase of image preprocessing and light stripe center extraction. In the phase of image preprocessing， Markov’s random field theory is applied to denoise binary images， and a method of extracting region of interest(ROI)based on the area characteristics of connected regions is proposed. In the phase of light stripe center extraction， firstly， a light stripe skeleton pruning method is proposed to prune and smooth the stripe skeleton obtained by the refined ROI. Secondly， considering the geometric and gray distribution characteristics of the light stripe image， the pixels in the ROI are divided based on an analysis of adjacent areas， and then the gray barycenter is obtained. Finally， Savitzky-Golay filter is used to extract the center of light stripe with sub-pixel precision. Experimental results show that the proposed method has strong applicability for different types of light stripe extraction and achieves higher precision compared with Steger method. And it’s worth noting that the speed of the proposed method is about 6.98 times higher than that of the Steger method.

Key words: image processing; line-structured light; light stripe center extraction; skeleton refinement; gray-barycenter method

CLC Number:

TP391

ZHANG Yao， XIA Yu-feng， WANG Zi-qi， LIU Yang. Extraction Method of Light Stripe Center Based on the Matching of Adjacent Pixels of Skeleton[J]. Journal of Northeastern University(Natural Science), 2023, 44(11): 1529-1536.

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