光学学报, 2013, 33 (6): 0615002, 网络出版: 2013-05-22
基于局部频率信息和单纯型模拟退火的异源图像配准
Multi-Modal Image Registration Based on Local Frequency Information Using Modified Simplex-Simulated Annealing Algorithm
机器视觉 图像配准 图像表达 异源图像 局部频率信息 单纯型模拟退火 machine vision image registration image representation multi-modal image local frequency information simplex-simulated annealing
摘要
非均态灰度变化和局部景象变化是异源图像配准面临的主要挑战。基于平均局部相位角(MLPA)和频率展开相位一致(FSPC)两种局部频率表达实现了对异源图像的非均态灰度和对比度反转不变的描述,并通过FSPC提取了图像间的公共结构信息;通过目标函数综合MLPA和FSPC的优势,对图像间公共结构信息分配更大的置信度;通过调整单纯型模拟退火算法,避免算法陷于局部最优解。大量真实和仿真实验证明了该方法能有效容忍图像间较大几何变形、景物差异和非均态灰度变化,改善了传统方法的配准精度和稳定性。
Abstract
The major challenges in registration between multi-modal images are the non-homogeneous intensity variation and the partial scene changes. Two local frequency representations, namely mean local phase angle (MLPA) and frequency spread phase congruent (FSPC), are used to achieve representations invariant to both non-homogeneous intensity variation and contrast reversal between multi-modal images. In addition, by using FSPC one can effectively emphasize the common structural information. An objective function is constructed to take full advantage of the two representations as well as allocate more confidences to the stable structures. Simplex-simulated annealing algorithm is adjusted to avoid being trapped in local optima. Numerous experiments using real and synthetic images clearly demonstrate that the proposed method can effectively register multi-modal images with significant variation in geometric distortion, non-homogeneous intensity and scene, as well as, improve the registration accuracy and robustness of the conventional methods.
刘晓春, 钟涛, 于起峰, 张小虎, 雷志辉, 尚洋. 基于局部频率信息和单纯型模拟退火的异源图像配准[J]. 光学学报, 2013, 33(6): 0615002. Liu Xiaochun, Zhong Tao, Yu Qifeng, Zhang Xiaohu, Lei Zhihui, Shang Yang. Multi-Modal Image Registration Based on Local Frequency Information Using Modified Simplex-Simulated Annealing Algorithm[J]. Acta Optica Sinica, 2013, 33(6): 0615002.