The arrival of components must been picked for the method of maximum entropy and cross power spectrum phase.
最大熵与互功率谱相位法就是首先求出组分波的波至点。
Objective To identify typical pathological images by using the neural network based on cross-entropy method.
目的探讨利用基于交叉熵的神经网络识别典型病理图像。
Finally, evaluation is made from the following aspects: mean, entropy, cross entropy, 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。
应用推荐