Image registration using shape-constrained mutual information and genetic algorithms
Xiaohui Yuan, Gloria Chi‐Fishman · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
We present a novel, shape-constrained mutual information-based image registration method using a Genetic Algorithm (GA) for aligning 2D MR images of the in vivo human tongue. By restricting the computation of Mutual Information (MI) using segmented object, we are able to register images in a short time without compromising accuracy. In addition, due to the employment of GA, the robustness of this method is greatly improved such that good registration results can be achieved given large initial transformation difference. Hence, this method eliminates the failure of matching caused by partial object overlap. Our experiments clearly demonstrate the robustness and accuracy of the method.