Nonrigid color image registration by minimizing residual complexity under illumination variations
Nonrigid color image registration by minimizing residual complexity under illumination variations
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DOI：
10.1109/cisp.2013.6744043
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发表时间：
2013-12
期刊：
影响因子：
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通讯作者：
Yuwen Wang;Xiaojun Hu;Ming Zhu;Deqian Fu;Shunbo Hu
中科院分区：
文献类型：
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作者：
Yuwen Wang;Xiaojun Hu;Ming Zhu;Deqian Fu;Shunbo Hu
在光照空间变化的情况下，许多基于亮度的相似度度量方法无法捕捉像素亮度之间复杂的相互作用，导致配准错误。残差复杂度（RC）测度可以解决这一问题，在同模态图像配准中提供准确、鲁棒的配准结果。本文将RC测度推广到非刚性彩色图像配准中，提出了相应的彩色图像配准方案。通过对三种彩色图像的非刚性配准，对比研究了RC、互信息、相关系数和平方差四种相似度量。实验结果表明，在存在光照变化和彩色图像几何变换的情况下，RC方法优于其他三种方法。
In the presence of spatially-varying illumination changes, many intensity-based similarity measures cannot capture the complex interactions among the pixel intensities and result in wrong registration. Residual complexity (RC) measure can solve this problem and provide accurate and robust registration results in the same modality images registration. In this study, RC measure is generalized to nonrigid color image registration and the corresponding color image registration scheme is proposed. By nonrigid registration of three kinds of color images, four similarity measures, i.e. RC, mutual information, correlation coefficient and sum-of-squared differences, are contrasted and studied. The results of tests show that RC measure outperforms other three measures in the presence of illumination variations and geometrical transformation of color images.