CAJ | 학술논문

针对可见光与红外图像的配准问题,提出了一种基边方向相关和局部优选区互信息加权的配准方法.首先进行区划分,建立区优选测度,选取信息量丰富的局部区;在优选区的基础上,引入了图像的边方向信息,构造边方向图,以增加全局空间特征;然后,通过综合局部区灰度信息和全局边方向信息,将互相关测度和互信息测度加权集成,构造了一种新的相似测度.实验结果表明,边方向相关测度的引入,提高了基互信息的图像配准的精度,利用局部优选区代替整幅图像提高了算法的速度.
침대가견광여홍외도상적배준문제,제출료일충기변방향상관화국부우선구호신식가권적배준방법.수선진행구화분,건립구우선측도,선취신식량봉부적국부구;재우선구적기출상,인입료도상적변방향신식,구조변방향도,이증가전국공간특정;연후,통과종합국부구회도신식화전국변방향신식,장호상관측도화호신식측도가권집성,구조료일충신적상사측도.실험결과표명,변방향상관측도적인입,제고료기호신식적도상배준적정도,이용국부우선구대체정폭도상제고료산법적속도.
An improved multi-model image registration method was proposed for visible and infrared image registration, which was based on optimal region mutual information (MI) and edge orientation correlation (OC). Firstly, with proper principle, local regions with rich information were selected by image partition. Then, in order to include spatial information, image edge orientation was introduced to construct an edge orientation map. Finally, by integrating the correlation of edge orientation map and MI of optimal regions with a trade-off weight, a new similarity metric was constructed. Experiment results show that by combining edge orientation correlation, this new metric can effectively improve the accuracy of MI based method, and processing with local optimal regions instead of whole image can improve the efficiency.