Split-and-merge Methods
Split-and-merge segmentation is based on a quadtree partition of an image. It is sometimes called quadtree segmentation.
This method starts at the root of the tree that represents the whole image. If it is found non-uniform (not homogeneous), then it is split into four son-squares (the splitting process), and so on so forth. Conversely, if four son-squares are homogeneous, they can be merged as several connected components (the merging process). The node in the tree is a segmented node. This process continues recursively until no further splits or merges are possible. When a special data structure is involved in the implementation of the algorithm of the method, its time complexity can reach, an optimal algorithm of the method.
Read more about this topic: Image Segmentation
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