| 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. | 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。 |
| 4. | In order to improve the following algorithms , we lighting correcting and histogram equalize the iris image , then we can get a better iris image . 4
为了提供后续识别算法的性能,本论文对虹膜归一化图像进行光照不均校正和直方图均衡化处理,得到较理想的图像。 |
| 5. | On the course of the pre - process of the fingerprint image , this paper makes use of some good methods and effectively gets rid of the most fake information
在指纹图像的预处理阶段，本文利用了直方图均衡化、高斯滤波、拉氏增强等方法有效的去除了图像中的大部分伪信息。 |
| 6. | 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。 |
| 7. | 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。 |
| 8. | 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。 |
| 9. | It increases defect ’ s display definition through infrared image ’ s histogram equalization and computing maximum contrast image , amplitude image and phase image of infrared image sequences , consequently it increases the capability of defect detection
通过红外图像的直方图均衡化,计算红外图像序列的最大对比度图像、幅值图像和相位图像,提高了缺陷的显示清晰度,从而提高了缺陷检测的能力。 |
| 10. | An algorithm for night vision image enhancement based on dualistic sub - image and two dimensional histogram analysis is brought forward in this dissertation . it can eliminate the drawback of traditional histogram equalization that the fine part is not easy to control and protect
该算法克服了通常的直方图均衡算法的难以控制图像整体增强效果的不足，得到了质量较好的增强后图像，提高了目标的识别率。 |
