The concise description of algorithms contains hyperlinks to further information (author, algorithms details, BIB entry, WWW external page).
The algorithm features are: f1 = classification (supervised segmentation), f2 = hiearchy result (manual selection), f3 = known number of regions, f4 = [reserved].
Variational Multi-Phase Segmentation using High-Dimensional Local Features
A variational multi-phase segmentation framework based on the Mumford-Shah energy, combined with PCA-based dimension reduction is used to segment color or gray-value images into regions of different structure identified by high-dimensional features, such as local spectral histograms (for Texture) and localized Fourier transforms (for Crystals).
List of uploaded results for 'PCA-MS' algorithm