文章基本信息

标题：Automatic Recognition of Road Signs by Hough Transform
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作者：Matteo Cacciola ; Vincenzo Barrile ; Francesco Carlo Morabito 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：2007
卷号：XXXVI-5/C55
出版社：Copernicus Publications
摘要：The problem of road sign detection and recognition is very important in many practical problems, above all for road cadastral authorities. In this sense, an automatic application able to identify the kind of a road sign starting from common imageries such as photos could be very helpful. The main difficulty is due to a possible poor graphical definition of the imagery. In this case, a valid support can be provided by the use of Hough Transform. In this paper, our aim is to propose the implementation of a valid, automatic, robust and reliable decisional support to technicians. It is based on the use of the Standard Hough Transform in order to detect the shape, i.e. the macro-class, of road sign (e.g. circular, squared, triangular, etc.). Subsequently, the road sign characterization has been refined by using the generalization of the Hough Transform in order to detect the specific sign within its previously established macro-class
关键词：Road sign detection; Hough Transform; Road cadastral; Image processing; GIS; Mobile mapping