Image Re-segmentation Applied to Urban Imagery
نویسندگان
چکیده
This article presents a new approach for image segmentation applied to urban imagery. Re-segmentation is so called because it uses a previous over-segmented image as input to generate a new set of objects more adequate to the application of interest. Concerning urban objects such as roofs, building and roads, the algorithm tries to generate rectangular objects by merging operations in a weighted Region Adjacency Graph. Objects whose union generate larger regular objects are merged, otherwise remain unmerged for further analysis. To verify the potential of the method, two experimental results using Quickbird images are presented.
منابع مشابه
Image Re-Segmentation - a New Approach Applied to Urban Imagery
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