Region growth method, manually select the seed point, it is an iterative process, where each seed pixel points are iterative growth Until each pixel is processed, different regions are formed, and their boundaries are defined by closed polygons. The main problems in regional growth are as follows: (1) represents the selection of the initialization seed of the region: in the region growing process, the selection of these different region points is appropriate. (2) pixel growth based on image specific attributes is not necessarily good segmentation. Connectivity or adjacency information should not be used during regional growth. (3) similarity: the similarity representation, in gray level, is to observe the minimum difference between the two spatial adjacent pixels or the average gray level of the set of pixels, which produce different regions. If the difference is smaller than the similarity threshold, the pixels belong to the same region.

region.m
region1.txt
region3.m

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