Wyniki wyszukiwania - BazTech

1

Automatic plantography footprint database searching method

Kocjan K., Kotarski W.

Journal of Medical Informatics & Technologies

|

2005

|

Vol. 9

209--213

EN

In this note we present a very simple database searching method for footprints of the desired flatfoot abnormality. The method is based on the new shape-measure introduced in [7]. The used measure describes flatfoot abnormalities very well, do not use reference points determined manually, so is it easily implemented for fully automatic footprints comparison task. Experiments carried out on a number of plantograms, with the help of the software prepared by the first author, approved good searching results of the described method.

2

An automatic footshape plantograms analysis based on a new shape-measure

Kocjan K., Kotarski W.

Journal of Medical Informatics & Technologies

|

2004

|

Vol. 8

II15--20

EN

In this note we present a method for recognition of flatfoot abnormality with the help of some new shape-measure describing numerically this abnormality efficient enough. The proposed measure can be easily implemented and used for automatic flatfoot level diagnosis. Experiments carried out on a number of the plantograms, analysed using the computer programme prepared by first of the authors, proved the usefulness of this new approach.

3

Fourier analysis in classification of blood cells

Kocjan K., Kotarski W.

Journal of Medical Informatics & Technologies

|

2003

|

Vol. 5

MI61--66

EN

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].

4

Blood cells analysis based on simple geometrical shape descriptors

Kocjan K., Kotarski W., Widuch S.

Journal of Medical Informatics & Technologies

|

2002

|

Vol. 3

MI207--212

EN

In the paper we present some results concerning application of simple shape parameters that are successfully used to distinguish between normal and pathological blood cells. All descriptors are based on shape area and its perimeter. We use five parameters that are automatically calculated for objects pointed out in the analyzed image with the help of our software. The experiments performed on the same set of tested images as in [3] let us draw the same conclusions as those reported in [3] where fractal analysis to shape has been used.