1999
@phdthesis{Sch1999,
vgclass = {thesis},
author = {Philippe Schmid},
title = {Segmentation \& Symmetry Measure for Image Analysis:
Application to Digital Dermatoscopy},
school = {D\'{e}partement d'\'{E}lectricit\'{e}, \'{E}cole
Polytechnique F\'{e}d\'{e}rale de Lausanne},
address = {Lausanne, Switzerland},
year = {1999},
abstract = {In this thesis, four topics related to image analysis are
investigated: filtering, color segmentation, contour detection, and
symmetry quantification for shape, color, and texture information. The
three first topics are essential to detect efficiently the objects of
interest present in the image, and to allow their analysis and
classification. The use of features such as the degree of symmetry are
necessary to this application. Although the combination of different
features is usually necessary for an efficient classification, we want
to focus on a unique feature and fully exploit it \ldots},
}