The new algorithm is compared with a number of traditional algorithms based on Shannon entropy and minimum crossentropy by applying them to various test images.
比较了新算法与基于最小交叉熵以及基于传统香农熵的阈值化算法的特点和分割性能。
2
Finally, evaluation is made from the following aspects: mean, entropy, crossentropy, distortion of the correlation coefficients and the feasibility of the method is verified in this paper.
最后从均值、信息熵、交叉熵、扭曲程度、相关系数等方面对融合后图像进行了评价,验证了算法的可行性。
3
Then, starting with the concept of information entropy and analysis about cross method for rare event simulation, this thesis introduces the basic idea of crossentropy optimization method.