IV. EXPERIMENTAL RESULTS
In order to exemplify the use of Gabor wavelet in image
analysis, we realized a tool consisting of two parts: a
theoretical part and the program itself.
This tool was implemented in C# programming language
and it offers, besides the corresponding forms, certain
classes, among: FeatureVector, GaborAnalyse and
GaborFeatureExtraction. These classes define the objects
used by the tool. By calling the corresponding method, we
shall obtain the characteristic vector, which will lately be
used for comparison.
Next, it is exemplified the manner in which an image is
interpreted. We used an ultrasound image (Figure 1). In
order to reduce the analysis time, the image was resized to
200x250 pixels. Considering that the images received from
the analysis laboratory have the same sizes in pixels, usually
generated in very high resolution, to be represented in the
graphical interface (GUI – Graphical User Interface), each
image will be resized in order to fit in the entire space of the
cell reserved for the GUI image. The display manner of the
images does not influence their analysis process, as the tool
will analyze the initial image files.