摘要
根据侧向多镜头视频测井装置获取图像的原理,提出了基于空间坐标变换的图像畸变校正方法.该方法首先通过畸变图像与校正图像之间控制点对的映射关系建立几何畸变模型,其次根据多项式拟合公式实现畸变图像的校正,最后通过双线性插值算法对图像进行灰度重建.通过采用直接和间接两种空间坐标变换方法对畸变图像进行仿真校正处理,结果表明,间接法校正图像的准确度高,像素过度平滑,满足了测井图像的精度要求.
The image distortion correction method based on space coordinate transformation is proposed according to the acquisition principle of lateral multi-lens video logging images.A geometrical distortion model is firstly established according to the transformation relationship between controlling point pair at distortion image and corrected image,and then the distortion image is corrected based on polynomial fitting formula.Finally,the grey scale of image is rebuilt through bilinear interpolation method.The distortion logging image is corrected using direct and indirect space coordinate transformation methods separately in simulation experiment.The experimental results show that the image processed by using the indirect correction method has a higher accuracy and natural transition between pixels than direct correction method,and the accuracy can satisfy the requirement of logging images.
出处
《西安石油大学学报(自然科学版)》
CAS
北大核心
2013年第1期106-110,1,共5页
Journal of Xi’an Shiyou University(Natural Science Edition)
基金
国家自然科学基金项目"测向多镜头多波长视频测井方法研究"(编号:60877011)
关键词
视频成像测井
图像畸变
坐标变换
双线性插值
video image logging
image distortion
coordinate transform
bilinear interpolation