Home – Home – Jornals – Avtometriya 2007 number 5

Selective effects of the centroid transformation method for structural analysis of monochrome graphic images are investigated. The principle of centroid transformation with the use of functionals of the type of moments for constructing space-structure parameters is described. Two processing schemes are considered: a centroid value accumulation scheme and a cluster scheme. It is shown that when the image is affected by noise, even a high-intensity noise, the scheme of detecting structure elements and borders via clustering the values of parameters is quite efficient. Analytical expressions defining the coordinates of centers and the sizes of clusters, and also the values of rms deviations of the parameter values as a function of rms deviations of the value of uncorrelated additive image noise are found.