A Car Window Segmentation Algorithm Based on Region Segmentation and Boundary Constraint

Abstract To enable locate and segment the window of a car accurately in complex environment, a segmentation algorithm based on region segmentation and boundary constraint is proposed. At first, multi-scale and undirected graph based on region segmentation algorithm is applied to segment the vehicle graph into some small zones and sort according to set rules; then combine and merge the small zones in sequence, The merged region with the maximum boundary smoothness is served as the candidate window; finally judge for windows by combining with geometrical parameters. The experimental results show that the algorithm is accurate in segmentation, the result of the segmentation can maintain the shape and size of the window, therefore the fitness for purpose is strong and the application prospect is wide.

Keywords graph-based segmentation region mergencechain codeboundary smoothnessgeometrical characteristics.

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A Car Window Segmentation Algorithm Based on Region Segmentation and Boundary Constraint

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