CAJ | 학술논문

为提高图像配准的速度和精度，对基于区域互信息配准算法进行了改进，运用了两层小波分解策略的配准方法，小波分解得到的最顶层图像采用粒子群优化全局寻优算法，利用搜索的结果作为下一层Powell寻优方法的起点，另外，对待配准图像应用形态学方法去除噪音。针对不同分解层的特点，采用不同的测度方法，得到的顶层图像采用改进后的区域互信息为相似性测度，而底层采用归一化互信息测度和相位一致性的相结合的方法，不仅提高了速度，还克服了图像间明暗对比的影响。实验结果表明，提出的配准算法对图像噪声有较高的鲁棒性，可达到亚像素精度，在配准速度上也有了很大的提高。
위제고도상배준적속도화정도，대기우구역호신식배준산법진행료개진，운용료량층소파분해책략적배준방법，소파분해득도적최정층도상채용입자군우화전국심우산법，이용수색적결과작위하일층Powell심우방법적기점，령외，대대배준도상응용형태학방법거제조음。침대불동분해층적특점，채용불동적측도방법，득도적정층도상채용개진후적구역호신식위상사성측도，이저층채용귀일화호신식측도화상위일치성적상결합적방법，불부제고료속도，환극복료도상간명암대비적영향。실험결과표명，제출적배준산법대도상조성유교고적로봉성，가체도아상소정도，재배준속도상야유료흔대적제고。
To improve speed and precision of image registration method, region mutual information is improved and two layer decomposition strategy of wavelet decomposition is researched in this paper. The top floor which has less data adopts particle swarm optimization optimal registration method, and uses the search result as the starting point of Powell optimization method in the next layer. Otherwise, mathematical morphology is yielded to remove noise. Aiming to different similarity measure for dif-ferent characteristics of decomposition, the top floor adopts the improved regional mutual information. The normalized mutual information is employed in the bottom floor while developing the phase congruency to extract characteristics. It not only improves speed, but also overcomes the effect of contrast between light and shade in pictures. Experimental results demonstrate that this new algorithm can offer a more robust and a sub-pixel precision, and the registration time is reduced.