提出了一种对低对比度图像进行增强处理的新技术。
实验结果证明了该方法的可行性，该方法为低对比度图像增强处理提供了一种新途径。
The experiment proves the validity of this technique, and it provides a new way to dispose low-contrast images.
近年来，低对比度图像中弱小目标的检测问题一直是 光学和图像处理领域的研究热点。
The detection for small dim targets in image processing field has been the subject of intense investigation for years.
采用分段线性变换对白天亮背景下低对比度图像序列进行对比度增强，最关键的是分段点的选取。
Selection of the subsection point is the key to enhance low contrast image under light background by subsection linear transformation.
同时对实现低对比度图像增强的基本方法和基本步骤进行了详细的阐述，并将该技术应用到透视图像分析中。
The principles and steps of low-contrast image enhancement method are explained. The method is applied to mri images.
针对低对比度图像，结合人眼视觉神经系统的感知特性，提出了一种基于PCNN与LR模型的图像增强方法。
In this paper, a new method of low contrast image enhancement is presented based on PCNN and LR models in conjunction with characteristics of human visual consciousness.
通过对PCNN工作原理和行为机制的深刻剖析，本文提出基于PCNN的低对比度的灰度图像增强算法。
This paper introduces a new method of low contrast gray image enhancement based on PCNN after studying the operation elements and action mechanism of PCNN.
灰度等级少、对比度低的降质图像增强问题。
The image enhancement problem for degraded images with less gray levels and low contrasts.
由于水体环境复杂，水下图像具有其特殊性质，例如对比度低、特征模糊等。
Because of the complex underwater environment, the underwater images have their own property. For example, the low contrast, the fuzzy feature, and so on.
提出了一种基于梯度分割的图像特征提取方法，对低对比度磁光记录薄膜磁畴图像进行处理。
In this paper, we present a method to realize feature extraction on low contrast magnetic domain images of magneto-optical recording films.
针对红外图像可视化程度弱、对比度低的问题，提出一种基于轮廓小波变换和区域能量的红外与可见光图像融合算法。
For visualization and contrast of IR images are weak, this paper proposed an algorithm for infrared and visible images fusion using wavelet-based contourlet transform (WBCT) and region energy.
为了解决低对比度红外序列图像中运动小目标的检测问题，提出了一种基于多级滤波的检测方法。
In order to solve the problem of detecting moving small targets in low-contrast infrared image sequences, a new detection method based on multilevel filter is proposed.
照射野影像对比度低、图像质量差使常规照射野验证易产生误差。
The contrast and quality of portal image is so low that it is difficult to avoid errors in routine verification.
可以适用于百万像素工业相机，并可获得低失真和高对比度图像。
Can accommodate Mega Pixel Cameras with low distortion and high contrast.
海天背景下舰船目标红外图像的目标背景对比度低，噪声大。
Infrared images for warship targets in sky -sea background have some characteristics, such as the low target-to-background contrast, great noise and so on.
如何有效地增强图像是图像分析中的一个难点，通常，图像的目标背景对比度低，噪声大。
How to improve image is always a difficult problem. Generally, the target background of image has some characteristics, such as the low target-to-background contrast, great noise and so on.
研究分析了常规分割算法在低对比度弱小目标图像分割中存在的主要困难，提出了对预处理和图像采取两级分割的方法。
As the main difficulty in small target image segmentation is analyzed by using routine method, a new method basing on two-time segmentation of the processed images is applied.
研究分析了常规分割算法在低对比度弱小目标图像分割中存在的主要困难，提出了对预处理和图像采取两级分割的方法。
As the main difficulty in small target image segmentation is analyzed by using routine method, a new method basing on two-time segmentation of the processed images is applied.
应用推荐