灰度校正在红外序列图像拼接中的应用  

Application of Grayscale Nonuniformity Correction in Infrared Image Sequence Mosaic

作　　者：王彦辉[1] 冯莹[1] 曹毓[1] 陈运锦[1] 

机构地区：[1]国防科技大学光电科学与工程学院,湖南长沙410073

出　　处：《红外》2011年第9期19-22,28,共5页Infrared

摘　　要：为满足红外图像无缝拼接的需要,提出了一种基于红外序列图像的灰度非均匀性校正算法。该算法利用灰度非均匀区域的相对稳定性,通过对拍摄的大量红外序列图像求平均,获得相机灰度校正的模板图像。然后利用此模板对各帧图像进行校正,实现在同一幅度照射下各像素灰度的一致性。最后利用由HJRG-001型红外热像仪获得的红外视频图像序列进行拼接实验,并使用SURF算法对校正后的序列图像进行拼接。实验结果表明,该方法简单快速,有效地校正了由成像系统造成的图像灰度非均匀性,并且在保持图像清晰度的前提下,明显消除了拼接缝,提高了拼接图像的质量。To meet the needs of seamless infrared image mosaic, a grayscale nonuniformity correction algorithm based on infrared image sequences is proposed. In this method, the relative stability of the grayscale nonuniformity area is used and the grayscale correction template is obtained by calculating the average of a lot of infrared image sequences. Then, the grayscale correction template is used to correct each frame of the image sequences and the grayscale uniformity of the pixels under the same illumination is achieved. Finally, the mosaic test is carried out on the infrared video image sequences captured by a HJRG-001 infrared thermal imager and the SURF algorithm is used to mosaic the corrected image sequences. The experimental result shows that this method is simple and fast. It can effectively correct the image nonuniformity caused by the imaging system and eliminate the mosaic seams while keeping good image definition.

关 键 词：红外序列图像拼接 灰度非均匀性校正 校正模板 无缝拼接 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]