期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B5
页码：533-538
出版社：Copernicus Publications
摘要：In this paper we present a new efficient edge detection algorithm for the extraction of linear features in both range and intensity image data. In the proposed algorithm the distinguished points, which will comprise the edges, depend on the spatial analysis of the numerical description of the mean curvature values. The work was motivated by the fact that the optimality of edge detectors for range images has not been considered in the literature, some algorithms are limited to synthetic range images and will totally fail in the presence of noise, others which have been tested in real range images are complicated with large numbers of parameters. As it will be demonstrated, the algorithm features computational efficiency, high accuracy in the localization of the edge points, easy implementation, and robustness against noise. The algorithm was initially developed for range image segmentation and has been extended to segment intensity images with some modifications. The generality and robustness of the algorithm is illustrated on complex scene images with different range sensors
关键词：Laser Scanner; Range Image Segmentation; Mean Curvature values; Crease-step edge; Free form objects
