Image segmentation plays an important role in medical imaging applications. Therefore, accurate methods are needed for the successful segmentation of medical images for diagnosis and detection of various diseases. In this paper, we have used maximum entropy to achieve image segmentation. Maximum entropy has been calculated using Shannon, Renyi and Tsallis entropies. This work has novelty based ...

We analyze a contrasting dynamical behavior of Gibbs–Shannon and conditional Kullback-Leibler entropies, induced by time-evolution of continuous probability distributions. The question of predominantly purposedependent entropy definition for non-equilibriummodel systems is addressed. The conditional Kullback–Leibler entropy is often believed to properly capture physical features of an asymptoti...

Abstract Hidden Markov chains are widely applied statistical models of stochastic processes, from fundamental physics and chemistry to finance, health, artificial intelligence. The hidden processes they generate notoriously complicated, however, even if the chain is finite state: no expression for their Shannon entropy rate exists, as set predictive features generically infinite. As such, date ...