Title:	DETECTION OF LINE FEATURES IN DIGITAL IMAGES OF BUILDING STRUCTURES
Author(s):	Fei Liu, Stefan Seipel
ISBN:	978-972-8939-74-8
Editors:	Yingcai Xiao
Year:	2012
Edition:	Single
Keywords:	Building images, Gradient edges, Hough transform, Line segment detection
Type:	Short Paper
First Page:	163
Last Page:	167
Language:	English
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Paper Abstract:	This paper describes method for detection of short line segments in digital images. It aims at identifying buildings in images taken from the ground view. The process starts with the image edge map and is carried out in two different levels. One is to detect long line segments usually stemming from façade edges and building silhouettes. The other one identifies shorter line segments which typically represent architectural details such as windows and entrances. Selected individual connected components in both vertical and horizontal gradient component maps are used respectively as input to the Hough transform at this level. Our first result shows that this method is capable of recognizing lines of interest but has also included many randomly oriented lines. The next step will be to eliminate the random line segments and correlate line segments of the two levels to classify high-level features of buildings in an image
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