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.
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© 1997 Springer-Verlag Berlin Heidelberg
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Fan, C., Li, Z., Ye, X., Gu, W. (1997). An adaptive method of color road segmentation. In: Sommer, G., Daniilidis, K., Pauli, J. (eds) Computer Analysis of Images and Patterns. CAIP 1997. Lecture Notes in Computer Science, vol 1296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63460-6_176
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DOI: https://doi.org/10.1007/3-540-63460-6_176
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