A vision based method to automate map processing

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摘要

This paper presents a method for the digitization, vectorization and storage of land record maps. Map data is input into a vision system via a CCD camera as raw data to be digitized. The digitized data is accompanied by various types of noise mainly due to the map's symbols and the binarization process. This data is passed to an intelligent program for noise removal. The processed data is converted to vector data by an efficient algorithm. This point data that presents the key points can be stored on peripheral storage devices for future reconstruction and modification of the map. Experimental results for a test map have been presented. This method has been implemented on an IBM-PC compatible machine vision system keeping in mind its office related applicability.

论文关键词:Image processing,Map storage,Raster-vector conversion,Map digitizing,Thresholding

论文评审过程:Received 4 September 1987, Revised 9 December 1987, Available online 19 May 2003.

论文官网地址:https://doi.org/10.1016/0031-3203(88)90045-3