计算机应用与软件2016，Vol.33Issue(8)：206-210,5.DOI:10.3969/j.issn.1000-386x.2016.08.046
结构光条纹图像分割方法
SEGMENTATION METHOD FOR STRUCTURED-LIGHT STRIPE IMAGE
摘要
Abstract
Segmenting and extracting structured light stripe is the key in 3D reconstruction of structured light vision.In this paper,we present a segmentation method for structured light stripe image.The method first uses multi-scale Retinex algorithm to enhance the details of darkness part of the stripe image,then uses k-means clustering algorithm for detecting the high-light areas of the image.We also proposed an image segmentation technique which is based on minimum bias-normal distribution index,at the constraints of image’s high-light area it calculates two segmentation thresholds for high-light areas and non-high-light areas.Finally,it makes dual thresholds segmentation on processed image and extracts the final segmentation result of stripe images.Experimental results show that this method can effectively deal with the segmentation of structured light stripe image.关键词
条纹图像/多尺度 Retinex/K 均值聚类/条纹分割Key words
Stripe image/Multi-scale Retinex/K-means clustering/Striped segmentation分类
信息技术与安全科学引用本文复制引用
朱真,杜轶诚,秦绪佳,陈胜男..结构光条纹图像分割方法[J].计算机应用与软件,2016,33(8):206-210,5.基金项目
国家自然科学基金项目（61303140）。 （）
