激光點陣圖像特征點提取算法研究

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關(guān)鍵詞：激光點陣圖像；閾值分割；特征點提取

中圖分類號：TP317.4 文獻標志碼：A 文章編號：1003-5168（2025）08-0048-05

DOI：10.19968/j.cnki.hnkj.1003-5168.2025.08.008

Abstract： [Purposes] In order to solve the problem that SIFT algorithm extracts multiple feature points from aspot area in the process of feature point extraction of laser latice image，which leads to the inability to accurately extract the center coordinates of the spot，a feature point extraction algorithm of laser lattice image is proposed.[Methods] The algorithm uses Gaussian filtering for noise reduction.Firstly，an adaptive threshold segmentation algorithm based on area and quantity constraints is used to binarize the image;secondly，the contour search algorithm is used to process the binary image ;then，thirdly ellipse fitting of the spot contour is carried out，and the geometric shape ofthe fitting result is screened to obtain the spot center coordinates; finally，the simulation experiment is carried out to select the appropriate Gaussian filter parameters.[Findings] The proposed algorithm and SIFT algorithm were used to extract feature points from laser dot matrix images.The experimental results show that the proposed algorithm can accurately extract 2 6O1 feature points from 5 1 × 5 1 laser dot matrix images.[Conclusions] In this paper，only one feature point is extracted from a laser region，and the interference of environmental fea ture points is eliminated. Keywords： laser dot matrix image; threshold segmentation; feature point extraction

0 引言

激光點陣圖像處理是研究激光散斑測量技術(shù)的關(guān)鍵，精確定位激光特征點坐標是高精度三維重建的基礎(chǔ)。（剩余5329字）