基于红外面阵传感器的图像拼接算法

Image mosaic algorithm based on infrared array sensor

对大面阵红外传感器图像的拼接算法进行了研究。针对红外图像中噪声过多的问题,采用基于Harris角点的图像拼接算法进行噪声抑制并对Harris算法进行改进。首先根据图像像素响应函数值的特性,将Harris检测人工阈值改进为自适应阈值。然后在相似测度归一化互相关(NCC)粗匹配的基础上,根据图像间正确匹配角点对各自构成的四边形应满足四角相等的几何关系,采用有约束的随机抽样一致性(RANSAC)方法。实验结果表明:该算法避免了噪声的影响,使图像拼接具有适应性,对大面阵红外图像具有良好的拼接效果。

Mosaic algorithm for large array infrared images sensor is studied. Aiming at problem of too much noise in IR image, Harris is adopted for noise inhibition and Harris algorithm is improved. Firstly, adaptive threshold is proposed according to characteristic of pixels response function value manual threshold of Harris detection is improved to adaptive threshold. On the basis of similar measure normalized cross correlation （NCC） coarse matching, random sampling consensus （RANSAC） algorithm is adopted which based on constraints. According to correctly matched comer point between images each constructive quadrilateral should meet geometic relationship of four angles are equal. Experimental result shows the algorithm avoid effect of noise, can make image mosaic has adaptability, it has good mosaic effect for large array infrared image.