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Adaptive Feature Selection in Image Segmentation
Published on Feb 25, 20078955 Views
Most practical image segmentation algorithms optimize some mathematical similarity criterion derived from several low-level image features. One possible way of combining different types of features, e
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Chapter list
Adaptive Feature Selection in Image Segmentation00:00
Outline01:07
Image segmentation02:15
Stacked feature vectors03:28
Stacked feature vectors: problems04:34
Feature selection in image segmentation06:23
Wish-list & Solutions08:20
Gaussian mixtures and relevance determination09:29
M-step as indicator regression10:50
M-step as indicator regression (cont’d)13:31
Combined clustering/selection model14:52
Model selection by resampling: Idea16:19
Prediction17:39
Model selection: model order18:02
Model selection: optimal #(features)19:12
Model selection: real world images20:09
Model selection: real world images21:40
Summing up22:20