| 1. | Regulating contrast of image of eye fundus
眼底图像对比度的调整 |
| 2. | Abstract : a new scheme of contrast enhancement of infrared image via wavelet transform is proposed
文摘:将小波变换理论应用于红外图像处理，提出一种基于小波变换的红外图像对比度增强方法。 |
| 3. | 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。 |
| 4. | 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。 |
| 5. | To improve the speed and quality of conventional methods for contrast enhancement of infrared images , the authors described a fast approach for image contrast enhancement , based localized adaptive propagation rule
摘要针对传统的红外图像对比度增强方法存在的运算速度慢、增强效果不佳的问题，提出了一种基于自适应传播机制的红外图像对比度快速增强算法。 |
| 6. | It has been proved with experiment that while improving the contrast degree of the image , the method effectively resolves the problem of the noise being enhanced at the same time ; thus makes it easy for the enhanced image to be analyzed and processed
实验证明，该方法在提高图像对比度的同时，有效的解决了噪声也被增强问题，使增强后的图像便于图像分析和后期处理。 |
| 7. | Based on the characteristics of radiographic testing images , conventional algorithms for their contrast enhancement were introduced , including global algorithms such as linear or non - linear gray stretch , histogram equalization or modification , and adaptive local enhancement algorithm
摘要根据射线图像的特点，介绍进行射线图像对比度增强的常用算法，包括线性和非线性的灰度拉伸、直方图均衡和修正等全局对比度增强方法，以及自适应局部增强方法。 |
| 8. | In the process of processing image , image ' s vision effect is improved by some image enhance technique such as neighboring region average and pixel expanding . in accord with the feathers of the soil microphotograph , a three - level segmentation scheme is used to segment the soil microphotograph
在图像处理过程中，对图像进行了增强处理改善图像视觉效果，采用了诸如灰度变换、改进的邻域平均法和像素点扩张法改善图像对比度以及消除图像中的噪声。 |
| 9. | According to the characteristics of weak small targets with imaging blurring and low contrast , this paper puts forward a new method of image enhancement , which first removals background noise and clutter with the threshold high pass filter , and then eliminates background and enhances targets through histogram equalization
摘要根据弱小目标成像模糊、图像对比度低的特点，提出先用门限高通滤波去除图像背景噪声及杂波，再采用门限直方图均衡法进行背景抑制和目标增强。 |
| 10. | We select a common feature in the image - edge of the object as our research content and from this point we spread our work including the contrast enhancing technologies , using mathematical morphology to restrain noises in image , extracting of the geometric primitives , dwt in edge detection and the border thinning and tracing technologies
我们重点针对图像物体的最直观特征?边缘进行研究，以此为出发点，研究了包括水下图像对比度增强，利用同态学进行水下图像噪声去除，直线和椭圆基元的提取，利用小波变换进行边缘提取以及基于多边形近似原则的边缘追踪技术在内的各种算法。 |
