New Attempts in Binary Image Registration

C. Cocianu, Alexandru Stan
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引用次数: 3

Abstract

The work reported in the paper addresses the problem of binary image registration. The proposed methodology is based on an evolution strategy (ES) developed to align two binary images. The fitness function is defined in terms of mutual information computed between the sensed image and the target image. We use various recombination schemes involving standard local/global convex and discrete crossover procedures as well as hybrid methods. The proposed hybridizations are developed based on some inner bond between the chromosome alleles. In the final stage we evaluate the similarity between the resulted image and the target using both quantitative and qualitative measures. Also, in order to experimentally establish the performances of our method, we compare it against one of the most commonly used procedures for image registration in case of rigid type perturbation, namely PAT registration. The experimental results together with some conclusive remarks regarding the quality of the proposed methodology are reported in the final part of the paper.
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二值图像配准的新尝试
本文研究的是二值图像配准问题。提出的方法是基于进化策略(ES)开发对齐两个二值图像。适应度函数是根据被感测图像和目标图像之间的互信息来定义的。我们使用了各种重组方案,包括标准的局部/全局凸和离散交叉过程以及混合方法。所提出的杂交是基于染色体等位基因之间的一些内在联系而发展起来的。在最后阶段,我们评估结果图像和目标之间的相似性使用定量和定性的措施。此外,为了通过实验确定我们的方法的性能,我们将其与刚性扰动情况下最常用的图像配准方法之一,即PAT配准进行了比较。实验结果以及关于所提出的方法质量的一些结论性评论在论文的最后部分报告。
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