Abstract
This paper presents a new adaptive and robust method for color road segmentation. The method shows good performance in segmentation of road with shadows. The color features of road are obtained in a sample region and are expressed as two scatter diagrams of red-green and blue-green. A fitting and predicting approach is used to extend the features to the whole image. The pixels in the image are then classified as road pixels or non-road ones based on the extended characters.
Cite
CITATION STYLE
Fan, C. F., Li, Z. M., Ye, X. Q., & Gu, W. K. (1997). An adaptive method of color road segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1296, pp. 661–668). Springer Verlag. https://doi.org/10.1007/3-540-63460-6_176
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