SEGMENTATION ALGORITHMS FOR ROAD MARKING DIGITAL IMAGE ANALYSIS

The road user costs accruing on road networks due to the poor quality of road markings are significant. There is therefore a need for an automated process to provide an objective assessment of the performance characteristics of road marking, such as wear and both day- and night-time visibility. Digital analysis of road surface images seems to be a versatile approach that may enable road agencies to evaluate the state of markings in an objective manner with increased accuracy. The analysis is effected by a series of processes that include image acquisition and digitisation, storage, segmentation, enhancement and feature description. This paper focuses on image segmentation, the process by which the road markings are identified from their background. The paper presents a number of techniques used for image segmentation that have been considered for inclusion in a prototype road marking analysis system. The techniques presented are the variance method, moment preserving thresholding, minimum error thresholdi...

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