基于圆分割的鱼眼镜头图像畸变校正算法

针对应用鱼眼镜头拍摄的图像产生了严重的畸变的问题,提出了一种基于圆分割的校正算法.该算法充分利用了鱼眼图像圆形结构这一特点,将其分割成同心圆,再利用函数法对畸变图像进行校正.微调系数的引入,使得算法更灵活,这样能根据鱼眼镜头与实际物体的距离来调整微调系数的大小,得到更理想的校正图像.Matlab实验结果表明:应用本算法能得到比较满意的校正结果,并且该算法所花费的计算时间少,使其能适用于实时监控系统.

Correction Algorithm of Fish-Eye Lens Image Distortion Based on the Circle Segmentation Approach

For the severe distortion problem of fish-eye lens images, a correction algorithm based on circle segmentation approach was proposed. The circular structure of the fish-eye image features is extensively used in the algorithm and the image is split into concentric circles, then the function method is used to adjust image distortion. A tuning coefficient is introduced to make the algorithm more flexible. The distance between the fish-eye lens and the actual object is considered to adjust the size of tuning coefficient such that a better corrected image is obtained. Matlab experimental results show that the algorithm can achieve satisfactory adjustment results and the calculation of the algorithm takes less time, so that it can be applied to real-time monitoring systems.