A Novel Segmentation Method of Roads and Slopes for Collapse Recognition

Zong Ling Yan; Yuan Yuan Jia; Zhong Shi He

doi:10.4028/www.scientific.net/AMR.663.137

Paper Titles

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 663A Novel Segmentation Method of Roads and Slopes...

A Novel Segmentation Method of Roads and Slopes for Collapse Recognition

Abstract:

Color image processing is seldom used in the recognition of roads and slopes collapse. And the application can bring great advantages to the traffic safety. Color image segmentation is the first and key step of the recognition system. By analyzing existing methods of color image segmentation, several drawbacks have been discovered. This paper proposed a novel and efficient segmentation approach which is suitable for the recognition of collapse. The Region of Interests (ROIs), i.e. the roads and slopes, was obtained with the ingenious use of the images characters. According to combine K-means clustering with region merging, connected-component algorithm and close operation, the roads and slopes are segmented with the statistical color features, geometrical features and the location of the objects. Experimental result shows feasibility and efficiency of the proposed approach.

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Periodical:

Advanced Materials Research (Volume 663)

Pages:

137-143

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.663.137

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Online since:

February 2013

Authors:

Zong Ling Yan, Yuan Yuan Jia, Zhong Shi He

Keywords:

Binary Image, Color Feature, Image Segmentation, K-Means Clustering, Roads Collapse, Slopes Collapse

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