多摄像机图像拼接自动色彩均衡算法

Automatic color equalization algorithm of multi-camera image mosaic

针对多摄像机视频图像,分析了图像拼接技术中存在的问题,讨论了目前图像处理中常用的图像色彩均衡算法,提出了一种基于图像像素均值统计的亮度和色彩均衡处理算法。首先提取相邻两摄像机同步帧图像的重叠区域并对重叠区图像进行通道分离(RGB),把其中一幅作为参考图像,另一幅作为目标图像,分别统计两幅图像各颜色通道像素均值差,用差值强制修正整幅目标图像。然后对修正后的图像和参考图像(整幅图像)进行颜色空间转换(RGB到HSV),再次统计两幅图像亮度通道(V通道)均值差,用差值强制修正整幅目标图像亮度。实验结果证明,该算法能有效校正相邻摄像机图像的亮度和色差,对后期的拼接融合处理起到了很好的改善效果。

Automatic color equalization is a very important technology for image processing.The paper proposed a new color and brightness equalization algorithm based on image pixel-mean statistical after the analysis of the problems in images mosaic,and current image color equalization algorithms which were commonly used in image mosaic were also discussed.Firstly,overlaps were extracted from two adjacent camera simultaneous frame images,and channels(RGB) were separated latterly.Then one camera image was used as a reference image,the other one as the target image,and the color channel's pixel-mean were counted before the whole target image was corrected.Finally,color space was conversed(RGB to HSV) for both revised image and reference image(whole image),and their brightness channel(V channel) pixel-mean difference was calculated to correct target image's brightness again.The results show that the algorithm can correct the adjacent camera image brightness and color difference effectively,and makes a good improvement for image mosaic at later period.