文献类型：期刊文献

英文题名：Automate road extraction from color city map based on threshold algorithm in HSV space

作者：Zhang, Lulu[1]; He, Ning[2]; Xu, Cheng[1]; Wang, Jin Bao[1]

第一作者：Zhang, Lulu

通讯作者：He, N.|[1141714bf2cd67513f9fa]何宁;

机构：[1] Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, 100101, China; [2] School of information, Beijing Union University, Beijing, 100101, China

第一机构：北京联合大学北京市信息服务工程重点实验室

通讯机构：[1]Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, 100101, China|[11417103]北京联合大学北京市信息服务工程重点实验室;[11417]北京联合大学;

年份：2014

卷号：32

期号：3

起止页码：1435-1440

外文期刊名：Energy Education Science and Technology Part A: Energy Science and Research

收录：EI(收录号：20142317785622)

语种：英文

外文关键词：Algorithms - Color image processing - Image segmentation

摘要：Extraction of color map objects, such as roads, rivers is an imprortant task in many applicaitons. In this paper we present an automatic approach for road extraction and achieves high accuracy and efficiency. Firstly converted image from RGB space to HSV space for preprocessing; then it does image segmentation with the method of adaptive threshold. To accurately derive the road segmentation result, it develops some methods for post-processing, such as linear smoothing, morphological enhancing and thinning etc. It also has systematically evaluated the algorithm on a variety of images from Google map and Baidu map of Beijing area. The results demonstrate that the algorithm proposed is efficient. ? Sila Science. All Rights Reserved.