کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
530136 | 869745 | 2012 | 13 صفحه PDF | دانلود رایگان |
We present an overview of the most important methods that decompose an arbitrary binary object into a union of rectangles. We describe a run-length encoding and its generalization, decompositions based on quadtrees, on mathematical morphology, on the distance transform, and a theoretically optimal decomposition based on a maximal matching in bipartite graphs. We compare their performance in image compression, in moment computation and in linear filtering. We show that the choice is always a compromise between the complexity and time/memory consumption. We give advice how to select an appropriate method in particular cases.
► Decomposition of binary objects to rectangles is useful in various applications.
► Compression, backward composition, feature computation, and convolution speed-up.
► There are a few methods of such decomposition.
► They differ by efficiency of results and by computing complexity.
Journal: Pattern Recognition - Volume 45, Issue 12, December 2012, Pages 4279–4291