- Title
- Line segmentation: a computational technique for architectural image analysis
- Creator
- Ostwald, Michael J.; Tucker, Chris; Chalup, Stephan
- Relation
- 29th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA 09). ACADIA 09: reForm (): Building a Better Tomorrow: Proceedings of the 29th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) (Chicago, IL 19-25 October, 2009) p. 153-158
- Relation
- http://www.acadia.org/acadia2009
- Publisher
- School of the Art Institute of Chicago
- Resource Type
- conference paper
- Date
- 2009
- Description
- Planar methods have typically dominated the computational analysis of architectural and urban space and form. For example, the majority of space syntax research that has been undertaken over the last three decades has been concerned almost exclusively with architectural and urban plans. In contrast, analytical methods that consider the formal, or visual, qualities of architectural facades, 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.
- Subject
- line segmentation; spatial configuration; residential facades; Hough transform
- Identifier
- http://hdl.handle.net/1959.13/920415
- Identifier
- uon:9147
- Identifier
- ISBN:9780984270507
- Language
- eng
- Full Text
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