Please use this identifier to cite or link to this item:
Title: 基于投影点密度的车载激光扫描距离图像分割方法
Other Title: A method for segmentation of range image captured by vehicle-borne laserscanning based on the density of projected points
Authors: Shi, W 
Li, BJ
Li, QQ
Issue Date: 2005
Source: 測繪学报 (Acta geodetica et cartographica sinica), May 2005, v. 34, no. 2, p. 95-100
Abstract: 对车载激光扫描系统获取的距离图像的分割进行研究,提出利用投影点密度进行距离图像分割的方法。该方法不需要其他辅助数据就可以进行距离图像的分割,给出应用实例。图像的分割是目标识别、定位、特征提取与建模的基础和关键。距离图像是离散坐标点阵列,不表达目标边界特征和拓扑关系,到目前为止还没有距离图像分割的成熟、可行方法。本文研究成果,展现了激光扫描技术在数据获取、处理研究上的新方向。
The research presented in this paper is focused on segmentation of range image captured by vehicle-borne laser scanning systems. A method, named as Density of Projected Points (DoPP) is proposed for the range image segmentation without other auxiliary data and is conducted to demonstrate the feasibility of the proposed solution by two cases. Image segmentation is the foundation and crux of object recognization, positioning, feature extraction and modeling. Range image is the discrete array of coordinates, which cannot describe edge feature or topologic relation, it has not be segmented by mature and feasible methods of segmentation up to now. The investigation in this paper opens a research direction to data acquisition and processing of laserscanning.
Keywords: Laser scanning
Range image
Density of projected points (DoPP)
Image segmentation
Publisher: 科学出版社
Journal: 測繪学报 (Acta geodetica et cartographica sinica) 
ISSN: 1001-1595
Rights: © 2005 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
© 2005 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research use.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Shi_Segmentation_Range_Image.pdf653.23 kBAdobe PDFView/Open
View full-text via PolyU eLinks SFX Query
Show full item record
PIRA download icon_1.1View/Download Full Text


Last Week
Last month
Citations as of Aug 21, 2020

Page view(s)

Last Week
Last month
Citations as of Sep 20, 2020


Citations as of Sep 20, 2020

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.