In this thesis we study the automatization of dental microwear
identification.
We will apply it on photographs of teeth with the purpose of
detecting the types
of past populations’ dietary habits. In the programme R we
create an algorithm
that will automatically identify dental microwear and determine
its important characteristics
such as inclination and length. In the first chapter we study
the Image
Analysis in general, we describe digital image and operations
that can be used.
In the second and third chapter we pay attention to the image‘s
improvement
and its preparation for the next step. In the fourth chapter we
describe the algorithm
of Hough transform, thanks to which we will be able to identify
the dental
microwear in the image and determine its inclination and
length. Finally, in the
fifth chapter we apply all the described procedures on a
photography of teeth that
comes from an electronic microscope.