A Feature Set For Cytometry On Digitized Microscopic Images

Abstract

. The feature set used for quantitative cytology at the laboratory for Biomedical Image Analysis of the GSF is described and illustrated. Additionally some fundamental remarks and concepts concerning the development of feature extraction methods are made. The feature set described is divided into shape, photometric and texture features. The latter are subdivided into feature groups of the whole object and of sub-regions like particles, e.g. eu- and hetero-chromatin. Main goal is to unify and gather the methods of feature extraction in cyto- and histometry allowing a standardized method of image analysis . The application of the set of features is shown in an overview of projects from di#erent fields. 1. Introduction The classical statistical approach, to evaluate a certain set of features (values, attributes) per object of interest, bases on the construction of correlation functions between object feature values and object attributes or diagnoses. The set of feature values i..