全方位加权自适应形态滤波的井下电视套损图像去噪算法

Denoising of the downhole broken casing television images using omnidrectional adaptive weighted combined morphological filtering

在传统的数学形态学滤波基础上,引入全方位形态学结构元素,通过自适应形态学运算的加权组合,提出了一种全方位加权自适应组合形态滤波,对低光照条件下获取的井下电视套损图像进行滤波处理.实验表明,针对噪声主要为高斯白噪声的井下电视套损图像,通过与传统开闭和闭开形态学滤波以及中值滤波对比分析,该方法有效地去除了井下电视套损检测图像的噪声,改善了图像的视觉效果,从而提高了后期图像数字化定量解释的精确度.

Based on the traditional mathematical morphology filtering,an omnidirectional adaptive weighted combined morphological filtering is put forward by introducing an omnidirectional morphological structural element and the weighted combination of the adaptable morphological operation,which is used for the denoising of the downhole broken casing television images acquired under lowlight condition.Experiment shows that,to the downhole television images of the broken casing with Gaussian white noise as the main noise,this filtering method is more effective than the traditional opening-closing or closing-opening morphological filtering and median filtering.It can effectively remove the noise in the images,improve the visual effect of the images and increase the accuracy of the quantitative interpretation of image digitization in the later stage.