Keyes, Laura and Winstanley, Adam C. (2000) Applying computer vision techniques to topographic objects. International Archives of Photogrammetry and Remote Sensing, 33 (B3). pp. 480-487.

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Abstract

Automatic structuring (feature coding and object recognition) of topographic data, such as that derived from air survey or raster scanning large-scale paper maps, requires the classification of objects such as buildings, roads, rivers, fields and railways. The recognition of objects is largely based on the matching of descriptions of shapes. Fourier descriptors, moment invariants, boundary chain coding and scalar descriptors are widely used in image processing and computer vision to describe and classify shapes. They have been developed to describe shape irrespective of position, orientation and scale. The applicability of the above four methods to topographic shapes is described and their usefulness evaluated.

Item Type:	Article
Keywords:	shape analysis, shape description, object recognition, Fourier descriptors, moment invariants, Boundary chain-coding, scalar descriptors
Academic Unit:	Faculty of Science and Engineering > Computer Science
Item ID:	65
Depositing User:	Dr. Adam Winstanley
Date Deposited:	08 Sep 2006
Journal or Publication Title:	International Archives of Photogrammetry and Remote Sensing
Publisher:	IAPRS
Refereed:	Yes
URI:
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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