Kumar, P.; Lewis, P.; McCarthy, T. The Potential of Active Contour Models in Extracting Road Edges from Mobile Laser Scanning Data. Infrastructures2017, 2, 9.
Kumar, P.; Lewis, P.; McCarthy, T. The Potential of Active Contour Models in Extracting Road Edges from Mobile Laser Scanning Data. Infrastructures 2017, 2, 9.
Kumar, P.; Lewis, P.; McCarthy, T. The Potential of Active Contour Models in Extracting Road Edges from Mobile Laser Scanning Data. Infrastructures2017, 2, 9.
Kumar, P.; Lewis, P.; McCarthy, T. The Potential of Active Contour Models in Extracting Road Edges from Mobile Laser Scanning Data. Infrastructures 2017, 2, 9.
Abstract
Active contour models present a robust segmentation approach which make efficient use of specific information about objects in the input data rather than processing all the data. They have been widely used in many applications including image segmentation, object boundary localisation, motion tracking, shape modelling, stereo matching and object reconstruction. In this paper, we investigate the potential of active contour models in extracting roads from Mobile Laser Scanning (MLS) data. The categorisation of active contours based on their mathematical representation and implementation are discussed in detail. We discuss an integrated version in which active contour models are combined to overcome their limitations. We review various active contour based methodologies which have been developed to extract roads and other features from LiDAR and digital imaging datasets. We present a small case study in which an integrated version of active contour models is applied to automatically extract road edges from MLS dataset. An accurate extraction of left and right edges from the tested road section validates the use of active contour models. The present study provides a valuable insight on the potential of active contours for extracting roads and other infrastructures from 3D LiDAR point cloud data.
Keywords
active contour models; LiDAR, segmentation; road edges
Subject
Engineering, Civil Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
