Detection of Pavement Region with Structural Patterns through Adaptive Multi-Seed Region Growing


The KIPS Transactions:PartB , Vol. 19, No. 4, pp. 209-220, Aug. 2012
10.3745/KIPSTB.2012.19.4.209,   PDF Download:

Abstract

In this paper, we propose an adaptive pavement region detection method that is robust to changes of structural patterns in a natural scene. In order to segment out a pavement reliably, we propose two step approaches. We first detect the borderline of a pavement and separate out the candidate region of a pavement using VRays. The VRays are straight lines starting from a vanishing point. They split out the candidate region that includes the pavement in a radial shape. Once the candidate region is found, we next employ the adaptive multi-seed region growing(A-MSRG) method within the candidate region. The A-MSRG method segments out the pavement region very accurately by growing seed regions. The number of seed regions are to be determined adaptively depending on the encountered situation. We prove the effectiveness of our approach by comparing its performance against the performances of seed region growing(SRG) approach and multi-seed region growing(MSRG) approach in terms of the false detection rate.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
H. I. Choi, S. H. Weon, S. I. Joo, H. S. Na, "Detection of Pavement Region with Structural Patterns through Adaptive Multi-Seed Region Growing," The KIPS Transactions:PartB , vol. 19, no. 4, pp. 209-220, 2012. DOI: 10.3745/KIPSTB.2012.19.4.209.

[ACM Style]
Hyung Il Choi, Sun Hee Weon, Sung Il Joo, and Hyeon Suk Na. 2012. Detection of Pavement Region with Structural Patterns through Adaptive Multi-Seed Region Growing. The KIPS Transactions:PartB , 19, 4, (2012), 209-220. DOI: 10.3745/KIPSTB.2012.19.4.209.