Optimization calculation feature scale for mutual information measure feature extraction
Feature subset selection based on max mutual information and max correlation entropy
Among all the registration methods, mutual information based methods have been accepted as the most accurate and automated method.
At last, we count words mutual information and adjacency by the first time we segment words, and then, according to this counting result we can judge and sign the lexical chunk by relevant words.
A mean mutual information based algorithm for physical layer abstraction
A score function for optimization based on maximum mutual information entropy with odditional restriction is proposed.
This paper aims to research registration of CT and MRI images of caput based on gradient and normalized maximization mutual information method.
This paper proposed a mutual information based method for generating video abstraction.
There are many kinds of image fusion methods, such as information entropy, mutual information, mean square error, peak signal to noise ratio and mean grads.
Fast image registration based on spline pyramid and mutual information
Then we discuss some image registration methods which are frequently used, such as registration based on landmark, feature-based method and mutual information method, etc.
Medical image registration based on mutual information combined with gradient similarity
Based on information theory, some examples which reflect the principle of mutual information in daily life are given.
Multi-image registration based on entropy of normalized mutual information vector
Multi-source image registration based on maximization of mutual information;
Image registration methods based on mutual information, including mutual information and normalized mutual information, have been accepted as the most accurate and efficient methods.
