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In this paper, we present a novel method to detect lane. We process the image in the HSV color space through three steps to detect all the features of the lanes. Then we synthetically judge the lane region by the features. Finally, we detect the lane by the subsection detecting method, according to the orientation of the lane. It is proved to have high accuracy and performance. So it can be used in...
A novel unstructured road detection approach based on HSV color space and road features is proposed. The method mainly uses the Hue component as the estimation standard, for it is insensitive to shadows and water areas. Sometimes, the Hue component of the road may be unstable, so we combine the Saturation and the Value components. This arrangement can assure the robustness of the approach. We don't...
A novel color edge detection approach based on YUV space and minimal spanning tree is proposed, which treats the pixels of color images as vectors in YUV space, and uses the idea of minimal spanning tree in graph theory to process them. The experiments carried out show that the strengths of detected edges are clear and precise, reflecting the intensity of actual edges. The final edge results are obtained...
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