为了提高图像拼接的质量,采用小波粗糙集算法.首先,基于自适应小波变换对图像分解,通过小波方向的对比度设定阈值来平衡图像内各个对象的差异.接着,分解图像特征点的粗糙决策属性来划分重叠区域,通过空间的划分,把上近似在属性子集的划分区域划分到对象集合中,下近似有可能划分到其他对象集合中,比较计算参考图像与输入图像特征向量因数集的欧氏距离约简规则选择特征点,并把输入图像中欧氏距离最小的点作为参考图像中特征点的匹配点.然后,通过平均值法消除拼接缝隙,实现图像的上下、左右以及斜方向的无缝拼接.最后,给出了算法流程和评价指标.实验仿真表明,本文算法拼接缝隙区域过渡光滑,视觉效果连续,没有出现重叠鬼影,本文算法的信息熵为33.872 1 bit,处理时间为2.436 8 s.满足拼接结果中对执行时间少、信息含量大等要求.
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