A Detection Method of a White Road Line Using Jensen-Shannon Divergence and Morphology
نویسنده
چکیده
The road surface inspection is proceeded by a human expert with an image that is generated through a laser imaging system. Although the imaging system can provides a fixed lighting condition, it produces a low contrast image for a white and a yellow road line. In this paper, a new detection method of white road line detection from a low contrast road surface image is proposed. The first. stage of the processing is an edge detection operation by the Jensen-Shannon divergence method. And the second is a binarization operation using discriminant and least squares threshold selection method. By taking an intersection of the two resulting images of these processing, the final detecting result can be obtained. The experimental results show that the proposed method has a high enough performance for the practical use.
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