文件名称:medical-super
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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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下载文件列表
Create_database.m
Dict/
Dict/train_f.mat
Main_HR.m
NQP.m
NoiseLevel.m
PCA_calc.m
Readme
create_LR.m
database/
database/Screenshot from 2014-09-30 15:59:10.png
database/Screenshot from 2014-09-30 16:01:24.png
database/Screenshot from 2014-09-30 16:02:45.png
database/Screenshot from 2014-09-30 16:02:49.png
database/Screenshot from 2014-09-30 16:03:54.png
dcm/
dcm/img_2_1_1_1.dcm
dcm/img_2_1_1_2.dcm
dcm/img_2_1_1_3.dcm
dcm/img_2_1_1_4.dcm
dcm/img_2_1_1_5.dcm
dcm/img_2_1_1_6.dcm
dist2.m
downsize.m
findimage1.m
findmean.m
overlapcut.m
Dict/
Dict/train_f.mat
Main_HR.m
NQP.m
NoiseLevel.m
PCA_calc.m
Readme
create_LR.m
database/
database/Screenshot from 2014-09-30 15:59:10.png
database/Screenshot from 2014-09-30 16:01:24.png
database/Screenshot from 2014-09-30 16:02:45.png
database/Screenshot from 2014-09-30 16:02:49.png
database/Screenshot from 2014-09-30 16:03:54.png
dcm/
dcm/img_2_1_1_1.dcm
dcm/img_2_1_1_2.dcm
dcm/img_2_1_1_3.dcm
dcm/img_2_1_1_4.dcm
dcm/img_2_1_1_5.dcm
dcm/img_2_1_1_6.dcm
dist2.m
downsize.m
findimage1.m
findmean.m
overlapcut.m
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