A new approach for the segmentation of nuclei observed with an epi-fluorescence
microscope is presented. The proposed technique is model based and uses local feature
activities in the form of step-edge segments, roof-edge segments, and concave corners to
construct a set of initial hypotheses. These local feature activities are extracted using either
local or global operators and corresponding hypotheses are expressed as hyperquadrics. A
neighborhood function is defined over these features to initiate the grouping process. The …

A new approach for segmentation of nuclei observed with an epi-fluorescence microscope is
presented. The technique is model based and uses local feature activities such as step-
edge segments, roof-edge segments, and concave corners to construct a set of initial
hypotheses. These local feature activities are extracted using either local or global operators
to form a possible set of hypotheses. Each hypothesis is expressed as a hyperquadric for
better stability, compactness, and error handling. The search space is expressed as an …