According to the adaptive requirements of medical segmentation algorithm,the article introduced image information entropy algorithm based on the research on C-V model algorithm of the level set picture segmentation methods,solved the iterated parameters setting issue in the curve evolvement,and enhanced the adaptive capability of C-V model segmentation algorithm.

Image information entropy describes the average information contents efficiently,but insensitive to point mutations.

The capability of multi-focus image fusion is evaluated by calculating image information entropy and Root Mean Square Error(RMSE).

The information entropy squeezing properties of the atom in motion interacting with the two-mode squeezing vacuum field via two-photon transition are studied by means of quantum theory.

The influence of the initial state of the system on the atomic information entropy squeezing is discussed.

The information entropy squeezing properties of the atom in motion interacting with the binomial states field via single photon transition are studied by means of quantum theory.

Based on the modified image information entropy and Otsu cluttering algorithm,a multilevel adaptive segmentation algorithm for marine target under complex background images was put forward.