Summary: Published at the 12th International Conference on Pattern Recognition, Israel, October 1994.
An Effective Image Thresholding Method Using a Fuzzy
Compactness Measure
Wenjing Tao Hans Burkhardt
Technische Informatik I
Technische Universit¨at Hamburg­Harburg
21071 Hamburg, Germany
Abstract
This paper presents an improved method for im­
age thresholding by optimization of fuzzy compactness
which was originally introduced by Pal and Rosenfeld
[3]. In our method a set of asymmetric S­functions
whose windows are located in the same range are used
as membership functions for obtaining fuzzy compact­
ness. This avoids the problem which may occur in the
original algorithm by unsuitably choosing of window
size. An effective algorithm for finding the optimum
is developed which proved to be computationally faster.
An application using this method to segment the re­
gions of interesting of flame images is also demon­

Source: Albert-Ludwigs-Universität Freiburg, Institut für Informatik,, Lehrstuhls für Mustererkennung und Bildverarbeitung

Collections: Computer Technologies and Information Sciences