Feature Extraction and Simplification from colour images based on Colour Image Segmentation and Skeletonization using the Quad-Edge data structure |
| | Abstract | Region features in colour images are of interest in applications such as mapping, climatology, change detection, medicine,
etc. This research work is an attempt to automate the process of extracting feature boundaries from colour images. This
process is an attempt to eventually replace manual digitization process by computer assisted boundary detection and conversion
to a vector layer in a spatial database. In colour images, various features can be distinguished based on their colour. The
features thus extracted as object border can be stored as vector maps in a spatial database after labelling and editing. Here, we
present a complete methodology of the boundary extraction and skeletonization process from colour imagery using a colour
image segmentation algorithm, a crust extraction algorithm and our new skeleton extraction algorithm. We also present a
prototype application for completely automated or semi-automated processing of (satellite) imagery and scanned maps with
an application to coastline extraction. Other applications include extraction of fields, clear cuts, clouds, as well as heating or
pollution monitoring and dense forest mapping among others. | | Keywords | Quade-Edge, Voronoi diagram, Delaunay graph, Image segmentation, Skeletonization | | Type | Conference paper [With referee] | | Conference | WSCG 2007 | | Editors | Vaclav Skala | | Year | 2007 Month January pp. 225-232 | | Publisher | University of West Bohemia | | Address | Plzen, Czech Republic | | ISBN / ISSN | ISBN 978-86943-02-2 | | Electronic version(s) | [pdf] | | BibTeX data | [bibtex] | | IMM Group(s) | Image Analysis & Computer Graphics |
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