张红颖 孙济洲 张加万
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摘要： 通常的互信息测度是基于Shannon熵的，对Renyi熵进行分析，根据某些参数下的Renyi熵可以消除局部极值、而Shannon熵对于局部极值具有很强吸引域的特点，提出一种使用Renyi熵和Shannon熵的混合互信息测度，将两种测度分别用于不同的搜索阶段，首先使用全局搜索算法寻找基于Renyi熵的归一化互信息测度的局部极值，再通过局部优化方法对当前的局部最优解进行局部寻优以找到全局最优解，在局部优化阶段使用基于Shannon熵的归一化互信息测度作为目标函数。实验表明，这种配准算法比单纯使用Shannon熵能够取得更准确的配准结果，而且求解速度得到提高。
