An s-layered Grade Decomposition of Images
An s-layered model of the grade data analysis is used to image decomposition. The method is derived from grade correspondence analysis and involves grade outliers. Image pixels are described by selected variables. The resulting data table is ordered according to the maximal grade differentiation. The outlying measure from the main trend is calculated for each pixel. This measure defines pixels distances from the regularity. The data table ordered according to outlying measure is divided into more homogeneous subsets and subsets form subimages with more similar pixels (in grade outlier meaning).
KeywordsConcentration Curve Data Table Image Pixel Concentration Index Main Trend
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