Range queries ask "what's inside this box?" But sometimes the question is "what's nearest to this location?" This is the nearest neighbor problem, and you don't know how big your search radius should be. The nearest point might be right next to you or far away.
Instead of taking the nearest candidates to , we can look for a set of candidates whose centroid is close to . The N-convex algorithm works by finding the closest colour to a given target colour for iterations, where the target is first initialised to be equal to the input pixel. Every iteration the closest colour added to the candidate list, and the quantisation error between it and the original input pixel is added to the target.
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This combination – localized Dijkstra, super-fast abstract graph traversal, and highly localized A* refinement – is what delivers the 100x speedup.，详情可参考heLLoword翻译官方下载