Fourier analysis in classification of blood cells

In the paper we present some results concerning the usage of Fourier analysis which we can successfully apply to distinguish between normal and pathological blood cells. We use special area function and different number of Fourier descriptors that are automatically calculated for all objects pointed out in an image. Calculations are performed with the help of the software made by the first author. Experiments performed on the same set of tested images as in [3] and [5] draw as to the same conclusions as there in [3] where the fractal analysis to shape has been used and in [5] where simple geometrical shape parameters have been applied. Other application of Fourier analysis one can find in [9].