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http://dx.doi.org/10.7236/JIWIT.2012.12.1.75

Road Extraction by the Orientation Perception of the Isolated Connected-Components  

Lee, Woo-Beom (Dept. of Computer Information engineering, Sangji University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.12, no.1, 2012 , pp. 75-81 More about this Journal
Abstract
Road identification is the important task for extracting a road region from the high-resolution satellite images, when the road candidates is extracted by the pre-processing tasks using a binarization, noise removal, and color processing. Therefore, we propose a noble approach for identifying a road using the orientation-selective spatial filters, which is motivated by a computational model of neuron cells found in the primary visual cortex. In our approach, after the neuron cell typed spatial filters is applied to the isolated connected-labeling road candidate regions, proposed method identifies the region of perceiving the strong orientation feature with the real road region. To evaluate the effectiveness of the proposed method, the accuracy&error ratio in the confusion matrix was measured from road candidates including road and non-road class. As a result, the proposed method shows the more than 92% accuracy.
Keywords
Road Extraction; Road Identification; Isolated connected-component; Orientation-Selective filters; Neuron Cell;
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