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Therefore, the sample size changes due to the merge procedure.
Then, a merge procedure is taken into account to obtain the final segmentation.
Then, based on a graph representation, a merge procedure using minimum spanning tree is then taken into account to iteratively merge similar regions into new homogenous ones.
Then image intensities are taken into account in merge procedure to deal with the image contrast and overcome the lighting effect on fruit peel.
Because of noise and high variation in the original image, the obtained image after applying the k-means algorithm may include many small regions that should be merged to nearby regions to speed-up the merge procedure.
Region Adjacency Graph (RAG) is then used to represent region structure to facilitate the merge procedure where similar regions are iteratively merged into new homogeneous ones based on minimum spanning tree algorithm.
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The split and merge procedures work in tandem to further improve the distribution of population and employment, reducing the number of lowly populated zones in regional areas and along municipal boundaries when compared to the original quadtree approach.
Richmond-Bryant et al. (2013) detailed the data merge procedures briefly described here.
To obtain a broadband simulation, a merging procedure was applied.
The merging procedure aimed at generating more manageable and interpretable zones.
If C 2 does not hold for any cluster pair, terminate the merging procedure.
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