CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
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id acadia09_153
authors Ostwald, Michael J.; Tucker, Chris; Chalup, Stephan
year 2009
title Line Segmentation: A Computational Technique for Architectural Image Analysis
source ACADIA 09: reForm( ) - Building a Better Tomorrow [Proceedings of the 29th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-9842705-0-7] Chicago (Illinois) 22-25 October, 2009), pp. 153-158
summary Planar methods have typically dominated the computational analysis of architectural and urban space and form. In contrast, analytical methods that consider the formal, or visual, qualities of architectural façades, or images of buildings, are not only rare, but only a few have ever been repeated and adequately tested. The present paper outlines a new method—derived from the Hough Transform algorithm—for the dissolution of architectural images into segmented lines that can be counted and charted, and that can have their spatial orientation determined. This method for investigating the visual qualities of buildings is demonstrated in an analysis of a series of images of suburban houses. The proposed method, line segmentation, is potentially significant because it is a method not commonly used for the quantitative analysis of the formal and textural character of real buildings, it is repeatable, and it delivers consistent results if a simple procedure is followed.
keywords optical analysis, complexity, design assesment
series ACADIA
type Normal paper
email michael.ostwald@newcastle.edu.au
full text file.pdf (157,735 bytes)
references Content-type: text/plain
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