基于限定对比度直方图均衡的超声测井图像增强方法

Method for Ultrasonic Logging Well Image Enhancement Based on Contrast Limited Adaptive Histogram Equalization

针对超声测井图像对比度低、细节模糊的问题,借鉴一种限定对比度直方图均衡算法应用于超声测井图像增强。通过仿真调整算法中的分割子块数目和剪切系数,得到适用于测井图像增强的参数值,利用主观视觉和客观参数对实验结果进行了评价。实验结果表明,该算法对超声测井图像质量的改善有较好的效果,能够实现突出局部细节,限制平坦区域过度增强的目的,对进一步提高声成像测井资料解释精度具有重要的意义。

In consideration of low contrast and blurred details in ultrasonic logging well image, the algorithm named contrast limited adaptive histogram equalization is referenced and applied to enhance ultrasonic logging well image. Segmentation sub-block number and shear coefficient are adjusted through simulation to obtain the suitable parameters for logging well image enhancement, subjective visual and objective parameters are used to evaluate the result of the experiment. The experimental results show that the proposed method has good effect on quality improvement for ultrasonic logging well image, can highlight local details, avoid the common problem of excess brightness in flat area, which is of great significance for further improving the accuracy of sonic imaging logging data interpretation.