Line extraction algorithm based on image vectorization

The raster-vector conversion of remote sensing image is a very important task in the extraction and updating of linear objects in cartographic processes. In this paper we present a vectorization method, based on constrained Delaunay triangulation, for line extraction. The constraints are provided by a preprocessing step insuring that these edges belong to line structures in the original image. The vectorization is performed using CDT and resulting triangles are grouped into polygins that make up the vector image. The skeleton of these polygons represents the extracted linear structures. The algorithm is automatic, fast and has very satisfing results when tested on road segments.

[1]  Ji Zhou,et al.  Vectorization of line drawings via contour matching , 1995, Other Conferences.

[2]  Shibin Wang,et al.  Vectorization system for interactive photoelastic image processing , 2002, International Conference on Experimental Mechanics.

[3]  Ali Azizi,et al.  Automatic road-side extraction from large scale imagemaps , 2002 .

[4]  Geoff Leach,et al.  Improving Worst-Case Optimal Delaunay Triangulation Algorithms , 1992 .

[5]  Leonidas J. Guibas,et al.  Primitives for the manipulation of general subdivisions and the computation of Voronoi diagrams , 1983, STOC.

[6]  Peng-Yeng Yin,et al.  Automating data extraction and identification on Chinese road maps , 2001 .

[7]  Wayne Niblack,et al.  Generating skeletons and centerlines from the distance transform , 1992, CVGIP Graph. Model. Image Process..

[8]  Marc Acheroy,et al.  Feature extraction using the constrained gradient , 1998 .

[9]  Craig A. Knoblock,et al.  Automatically Conflating Road Vector Data with Orthoimagery , 2006, GeoInformatica.

[10]  Steven W. Zucker,et al.  Representing Edge Models via Local Principal Component Analysis , 2002, ECCV.

[11]  Jonathan Richard Shewchuk,et al.  Triangle: Engineering a 2D Quality Mesh Generator and Delaunay Triangulator , 1996, WACG.

[12]  Gunilla Borgefors,et al.  Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Naoya Tanaka,et al.  Vectorization method based on energy minimization principle , 1993, Other Conferences.

[14]  Gabriella Sanniti di Baja.  Well-Shaped, Stable, and Reversible Skeletons from the (3, 4)-Distance Transform , 1994, J. Vis. Commun. Image Represent..

[15]  Wolfgang Heidrich,et al.  Feature-Preserving Medial Axis Noise Removal , 2002, ECCV.

[16]  Salvatore Tabbone,et al.  Vectorization in graphics recognition: to thin or not to thin , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[17]  Gisela Klette.  Skeletons in Digital Image Processing , 2002 .

[18]  Ching Y. Suen,et al.  Thinning Methodologies - A Comprehensive Survey , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[19]  Michael Ian Shamos,et al.  Computational geometry: an introduction , 1985 .

[20]  Borut Zalik,et al.  An incremental construction algorithm for Delaunay triangulation using the nearest-point paradigm , 2003, Int. J. Geogr. Inf. Sci..

[21]  Ju Jia Zou.  A Fast Skeletonization Method , 2003, DICTA.

[22]  Sven Loncaric,et al.  A survey of shape analysis techniques , 1998, Pattern Recognit..

[23]  Gunilla Borgefors,et al.  Distance transformations in digital images , 1986, Comput. Vis. Graph. Image Process..

[24]  Vid Domiter.  Constrained Delaunay Triangulation using Plane Subdivision , 2004 .

[25]  S. Coren,et al.  Principles of perceptual organization and spatial distortion: the gestalt illusions. , 1980, Journal of experimental psychology. Human perception and performance.

[26]  Carl de Boor,et al.  A Practical Guide to Splines , 1978, Applied Mathematical Sciences.

[27]  Rex A. Dwyer.  A faster divide-and-conquer algorithm for constructing delaunay triangulations , 1987, Algorithmica.

[28]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[29]  Lakshman Prasad,et al.  RAVEGRID: RASTER-TO-VECTOR GRAPHICS FOR IMAGE DATA , 2007 .

[30]  Leonidas J. Guibas,et al.  Randomized incremental construction of Delaunay and Voronoi diagrams , 1990, Algorithmica.

[31]  Jonathan Richard Shewchuk,et al.  Constrained Delaunay Tetrahedralizations and Provably Good Boundary Recovery , 2002, IMR.

[32]  Lakshman Prasad,et al.  Vectorized image segmentation via trixel agglomeration , 2006, Pattern Recognit..

[33]  John Y. Chiang,et al.  A New Algorithm For Line Image Vectorization , 1998, Pattern Recognit..

[34]  Anil K. Jain.  Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.

[35]  Leonidas J. Guibas,et al.  Primitives for the manipulation of general subdivisions and the computation of Voronoi diagrams , 1983, STOC.

[36]  Juan Mena Berrios.  Cartografía digital: desarrollo de software interno , 1992 .