Pre-segmentation influence on the efficiency of multi-temporal image registration

The analysis of the segmentation effect of various background areas in the image on the quality of registration of multi-temporal bridge structure images using stochasticalgorithms is carried out. The influence of the parameters of bridge structures image registration, such background structures as cloudiness and ground cover, on the operatingrange is analyzed under the assumption that the similarity model describes mutual volumetric images

The influence of the entropy order in stochastic image alignment based on the maximum mutual information criterion

This paper investigates the effect of entropy order on the convergence rate of a stochastic image alignment algorithm based on Renyi mutual information. A comparison ismade with the case of using the Shannon mutual information

Noise resistance of stochastic image binding algorithms on the base of mutual information

Based on the mutual information of Shannon, Tsallis and Renyi, relay stochastic algorithms for image binding were synthesized and their stability and accuracy were studied