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A unique space oriented filer is presented in order to detect and isolate the cell of a nucleus for applications in cytopathology. A classification method for nuclei is then considered based on the application of a set of features which includes certain fractal parameters. Segmentation algorithms are considered in which a self-adjustable sharpening filter is designed to enhance object location. Although the methods discussed and the algorithms developed have a range of applications, in this work we focus the engineering of a system for automating a Papanicolaou screening test using standard optical images
Blackledge, J.,Dubovitskiy, D.: Pattern Recognition in Cytopathology for Papanicolaou Screening. In Eurographics UK Chapter Proceedings, vol: 978-3-905673-75-3, pages: 131 - 138.