Using sectorization in FCM Sample Clauses

Using sectorization in FCM. In the appearance model, the FCM fits a number of (Gaussian) gray value distribu- tions to a given combined histogram of image patches extracted from the studied data set. To ensure a large enough population of gray values for a stable application of FCM, all patches from all intersections of the model mesh with the image slices are collected. However, in many data sets, intensity inhomogeneity was observed within tissues. These effects can severely hamper the classification of the tissues based on sampled gray value histograms. To prevent this, the shape model was organized in sectors, by assignment of labels. Thus, different sectors can be assigned different rule sets in the FIS, and (combinations of) different sectors can be clustered in separate FCM operations. Since intensity inhomogeneity within one sector is limited, effects
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