文章基本信息

标题：Edge Extraction Algorithm Based on Linear Perception Emhancement
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作者：Fan Zhang ; Xianfeng Huang ; Xiaoguang Cheng 等
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 B3b
页码：497-502
出版社：Copernicus Publications
摘要：Edges are very important clues for building reconstruction in city-modeling. But some weak edges, such as roofs' ridges, are often similar to the background in intensity which causes low gradient magnitude. The previous edge detection algorithms are hard to detect weak edges with tight threshold, while loose threshold will lead to lots of false edges caused by noise and interference. An linear features perception based edge detection algorithm is proposed in this paper. The human visual mode of linear perception is used as reference, and weak edges are picked according to their linear distribution. The experiments on aerial images of different areas show that the proposed algorithm has a significantly enhanced ability to detect weak edges and suppress false edges comparing with Edison edge detection algorithm
关键词：Image understanding; Edge detection; Computer Vision; Cluster Analysis; Urban planning; Aerial photogrammetry