1) low contrast pay zone
低对比度油气层
2) low-contrast
低对比度
1.
As the military and industry is developing dramatically, to enhance the low-contrast digital image has become one of the important areas in image processing.
随着军事和工业上的发展需要,低对比度数字图像的增强越来越成为数字图像处理中的一个重要领域,传统的增强方法分为频域法和空域法两大类,其中空域法的代表为直方图增强法,这也是最为流行的增强方法,频域法中用的较多的是基于小波变换,傅立叶变换和离散余弦变换的增强方法,本文介绍的是基于小波神经网络的频域增强法。
3) Low contrast
低对比度
1.
During the quality inspection of steel strip surface,some low contrast defect images cannot be found when the inspection system employs the grad operator to segment images.
在带钢表面质量视觉检测过程中,一些低对比度缺陷图像应用梯度算子进行分割时,往往找不到图像中的缺陷,从而出现漏检的情况。
2.
Conclusion Width and low contrast for DR is higher than those of CR and measuring scale error is less than 1 millimeter.
结论:DR宽容度和低对比度高于CR,比例尺误差小于1mm。
4) reservoir correlation
油层对比
1.
According to reservoir correlation characteristic and modeled thinking of man sreservoir correlation,we put forward neural network reservoir correlation method, which includes the steps: 1)preprocessing, 2) reservoir correlation using neural network, 3)conclusion prediction and 4) plotting the reservoir correlation result, here conclusion prediction being an option.
本文根据油层对比的特点，模拟人工对比的思路，建立了利用神经网络技术进行油层对比的总体流程：①预处理；②用神经网络法进行油层对比；③结论检测；④绘制油层对比图。
5) correlation of oil and gas
油气对比
6) reservoir gas-oil ratio
油层气油比
补充资料：对比
对比
不同事物放在一起比较。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条