运用直方图均衡化方法强化坡口与非坡口的差别，增加焊缝图像的理解性。
To better understanding the weld image, the histogram equalization method was used aiming at enlarging the difference between groove and other area.
此文主要研究用于增强图像的灰度变换方法，包括线性灰度变换、非线性灰度变换与直方图均衡化方法。
This paper mainly tells us the ways of image gray transformation, including linear gray transformation, nonlinear gray transformation and the approach of histogram equalization.
在图像增强方面，尝试了直方图均衡化增强方法，并对其处理结果进行了分析。
The method of histogram equalization is attempted to used in the sonar image, and the result is analyzed.
给出了基于FPGA的视频格式转换、快速中值滤波、自适应平台直方图双向均衡化的原理、实现方法及仿真结果。
The principium, implementation method and simulation results of FPGA -based video format conversion, median filtering and adaptive bidirectional plateau histogram equalization were given.
该方法明显优于经典的同态增晰法和直方图均衡化。
The method is better than traditional homomorphic filtering and histogram equalization.
并且通过与直方图均衡化法以及中值滤波法的对比可以很明确的表明，本文的方法相较于上述两种方法更优，提取的效果更好。
And the method with histogram equalization and median filtering method of comparison can be very clear that the present method than the above two methods better and better extraction.
方法在改进常规直方图均衡化算法的基础上，以最小灰度平均值误差二元直方图均衡化为基础，引入另一个有效分割点。
Methods Based on improving of traditional histogram equalization, the proposed method adopts the minimum mean brightness error bi-histogram equalization and an effective intersected point.
光谱增强包括线性反差拉伸、非线性反差拉伸、直方图均衡化和直方图匹配等方法。
Spectral enhancement includes linear contrast stretch, non-linear contrast stretch, histogram equalization and histogram matching etc.
首先对彩色图片进行灰度化，再采用直方图均衡化的方法来进行图片的预处理，以获得比较好的图像拼接效果。
First carries on the gradation to the colored picture, again USES the histogram equalizing the method to carry on the picture the pretreatment, obtains the quite good image splicing effect.
与传统直方图均衡化增强方法相比，该方法保留了较亮区域的视觉特性，且对噪声的增强相对较弱。
Compared with traditional histogram equalization method, the new algorithm not only reserves the visual characteristics of bright region but also brings relatively weak noise enhancement.
与传统直方图均衡化增强方法相比，该方法保留了较亮区域的视觉特性，且对噪声的增强相对较弱。
Compared with traditional histogram equalization method, the new algorithm not only reserved the visual characteristics of bright region, but also make noise enhancement relative weak.
与传统直方图均衡化增强方法相比，该方法保留了较亮区域的视觉特性，且对噪声的增强相对较弱。
Compared with traditional histogram equalization method, the new algorithm not only reserved the visual characteristics of bright region, but also make noise enhancement relative weak.
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