Multi-resolution Parameterization for Texture Classification and Its Use in the Scintigraphic Image Analysis

This dissertation [4, 2] addresses multi-resolution texture parameterization and proposes an original algorithm ARes for finding more informative resolutions in the sense of classification accuracy. ARes is designed to be used in combination with the existing parameterization algorithm ArTex [3]. The results obtained using the ArTex parameterization algorithm in combination with ARes are compared with standard parameterization methods such as Gabor filters, Haar and Laws wavelets and Image Processor. Primary application areas include whole-body bone scintigraphy for pathology detection and heart scintigraphy for diagnosing ishaemic heart disease.