CAJ | 학술논문

针对带先验形状约束的几何活动轮廓模型中的形状配准问题，提出一种基于变分方法和最大互信息准则的先验形状配准算法。利用变分配准模型计算仿射变换参数，将其作为互信息配准算法的初值，通过Powell优化算法计算仿射变换参数的最优解。实验结果表明，该算法在保证配准精度的同时，能明显提高计算效率。
침대대선험형상약속적궤하활동륜곽모형중적형상배준문제，제출일충기우변분방법화최대호신식준칙적선험형상배준산법。이용변분배준모형계산방사변환삼수，장기작위호신식배준산법적초치，통과Powell우화산법계산방사변환삼수적최우해。실험결과표명，해산법재보증배준정도적동시，능명현제고계산효솔。
Aiming at the registration problem of Geometric Active Contour(GAC) model with prior shape, this paper proposes a prior shape registration algorithm based on variation method and maximum mutual information criterion. After calculating the affine transform parameters with the variation method, the results are used as the initial values of Powell optimization algorithm to maximize the mutual information between the reference and floating images. Experimental results demonstrate that the proposed algorithm can improve the computational efficiency while maintaining a high registration precision.