A SURVEY ON ROAD EXTRACTION FROM COLOR IMAGE USING VECTORIZATION

Nisha Sharma, Rajeev Bedi, Ajay Kumar Dogra

Abstract: Road extraction can be defined as extracting the roads from an image by accessing it through the features of road. Road information can be extracted from images in three ways: manual extraction, semi-automated extraction and fully automated detection. In this paper we review various research papers of road extraction methods. Most of the work focused on road extraction from grayscale images. Our proposed approach is to extract road from color image using vectorization. Vectorization is performed using canny edge detection and CDT (Constrained Delaunay Triangulation) and then grouped resulting triangles into polygons to make up vector image. A sequence of pre-processing steps is applied to get better quality of image and to produce extended road network before vectorization. At the end, skeletonization is used to transform the components of digital image into original components.

Keywords: vectorization, constrained Delaunay triangulation, canny edge detection, skeletonization,

DOI: https://doi.org/10.15623/ijret.2013.0210068