| 1. | The application of changed histogram equalization in image enhancement
变换的直方图均衡算法在图像增强中的应用 |
| 2. | Experimental results demonstrate this method is better than histogram equalization under this circumstance
实验结果表明，与直方图均衡方法相比，此方法效果较佳。 |
| 3. | In the facet of pre - transact of ir image , the traditional smooth spatial filter and histogram equalization are analyzed and intruded first
论文在红外图像预处理方面,首先分析了传统的空间滤波技术,并着重介绍了平滑空间滤波器。 |
| 4. | The traditional image enhancement approaches include gray - scale transformation , histogram modification , histogram equalization , image smoothing and wiener filtration
传统的图像增强方法有灰度变换、直方图修正、直方图均衡、图像平滑和维纳滤波。 |
| 5. | There are several effective methods which are used to improve image contrast , such as piecewise linear stretch , histogram equalization and histogram normalization and so on
采用图像对比度增强的方法改善影像灰度反差。主要的对比度增强方法有分段线性增强、直方图均衡化和直方图正态化等。 |
| 6. | In addition , we proposed an adaptive histogram equalization method with variant window size over each pixel . this method produces more appropriate window size for each pixel than others
与已有的方法相比，由该方法生成的窗口大小能较灵活地适应了图像中不同区域的灰度分布，取得了较好的结果。 |
| 7. | In this thesis , the preprocessing work includes histogram equalization and gray normalization . this preprocessing improves image quality , and eliminates the effects of illumination difference on the images
本论文在预处理阶段通过对灰度直方图修正、灰度归一等工作改善了原图像的质量,使光照不均匀对图像识别的影响降低。 |
| 8. | In this paper , firstly the micro - areas image acquisition is introduced . secondly , in order to enhance the useful characteristic , the image pre - processing is taken by histogram equalization and modified median filter
论文首先实现了微区图像的采集，为了增强图像的有用特征，采用灰度级修正和噪声抑制的方法对图像进行了预处理。 |
| 9. | Besides , several contrast enhancing approaches were compared in the thesis , including histogram equalization , homo - filters , and wavelet transform . an algorithm based on the polygon approximation is developed
本论文对比了现有的一些图像对比度提高的方法，包括直方图均衡化、同态滤波器和小波同态滤波法在水下图像对比度增强中应用的效果。 |
| 10. | This paper puts emphasis on image processing which makes use of histogram equalization method for image enhancement , which making engineer effectively analyze and making certain flaw , abrasion , bend of wall of a well
文中着重介绍了图像处理部分，使用直方图均衡化等方法对井下图像进行图像增强处理，使工程人员能够更有效的分析和确定井壁裂纹、磨损、弯曲等状况。 |
