Description: This work introduces two variants of unsupervised color segmentation methods. The underlying idea is to segment the input image several times, each time focussing on a different salient part of the image and to subsequently merge all obtained results into one composite segmentation. As a first step salient parts have to be identified in the image, which is done by a simple local color clustering approach.
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Create_database.m
Dict
....\train_f.mat
Main_HR.m
NQP.m
NoiseLevel.m
PCA_calc.m
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create_LR.m
database
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