CAJ | 학술논문

基于光流场模型的图像配准方法计算简单快速,但采用原始光流场模型进行图像配准会使图像出现严重的模糊导致不能使用.提出了对原始光流场模型的正则项进行改进,同时引入运动模糊图像复原算法,改进的算法改善了原始光流场模型造成的图像模糊.实验结果表明,基于改进光流场模型的医学图像配准算法配准结果准确,具有较快的配准速度.
기우광류장모형적도상배준방법계산간단쾌속,단채용원시광류장모형진행도상배준회사도상출현엄중적모호도치불능사용.제출료대원시광류장모형적정칙항진행개진,동시인입운동모호도상복원산법,개진적산법개선료원시광류장모형조성적도상모호.실험결과표명,기우개진광류장모형적의학도상배준산법배준결과준학,구유교쾌적배준속도.
The registration methods based on optical flow can be conveniently implemented "and the registration process is efficient. But all of the appeared registration methods based on optical flow use the initial optical flow model, which make the image fuzzed seriously so that it can not be used. In this paper we improve the regularization term in the initial optical flow model and introduce a motion-blurred image restoration algorithm. The new method reduced the blurring of the initial optical flow model. The experiment results show that results of high accuracy and efficiency can be obtained using the image registration method based on improving the optical flow model.