煤矿鱼眼畸变图像校正

Adjustment of fisheye distortion images of coal mine

针对煤矿井下视频监控系统中鱼眼图像的畸变问题,根据理想球面透视投影模型的保线性约束条件,提出一种面向内容的校正参数自动获取方法,即通过对鱼眼畸变图像进行数学形态学和随机霍夫变换预处理得到所需的图像边缘特征直线,然后统计水平和垂直线段在总线段中的比例,分析统计结果,获取最佳校正参数。为了减少图像信息过多对校正参数获取过程的影响,对理想球面透视投影模型进行了改进,提出一种改进的鱼眼畸变图像校正方法,实现了对图像中心的转移和部分区域的放大。实验验证了该方法对鱼眼畸变图像的校正效果较好。

For distortion problem of fisheye images collected by video monitoring system of coal mine,an automatic obtaining method of adjustment parameters was put forward based on image content according to line constrain of ideal spherical perspective projection model. The method detects image edge characteristic lines by preprocessing the fisheye distortion image using math morphologic and random Hough transform,then gets the optimal adjustment parameters through the statistic of horizontal and vertical lines proportion.In order to decrease effect of large image information on adjustment parameter obtaining,the ideal spherical perspective projection model was improved and an improved adjustment method of fisheye distortion images was proposed,which realized center transfer of the fisheye distortion image and magnifying of part regions.The experimental results show the method can get a better adjustment effect of fisheye distortion image.