Research on the method for extracting edge in noise image;
提出一种基于快速模拟退火的噪声图像配准算法。
Fig. 3.2 Experimental image, Adding noise image, template image.
图3.2实验图像，噪音图像，模板图像。
Now there are many methods of edge extraction to have been researched, but none of them is an effective method that is suitable to all kinds of image, especially to the noise image.
目前已研究出不少边缘提取的方法，但还没有一种普遍适用于各种图像的有效方法，尤其对于噪声图像。
How to extract the edge effectively in noise image is a difficult problem in the field of image analysis. The traditional methods used to extract edge are often very sensitive to noise.
在噪声图像中如何有效的提取边界是图像分析中的难点，常用的边界提取方法往往对噪声很敏感。
To solve the problem of ellipse - object - shape parameters detection in noise image, a new detection algorithm using nonlinear data fitting model and cross-reference iterative method is proposed.
为提高噪声环境下椭圆类物体形状检测算法的稳定性与准确性，本文提出非线性数据拟合模型结合交叉参考迭代的新思路。
When the subjects saw each image, they also heard a matching noise—for instance, on seeing a cat, they heard a meow.
当受试者看到每张图片时，他们也会听到相应的声音——例如，当他们看到一只猫时，他们会听到猫叫。
The sky in the exposures was de-rotated to compensate for the rotation of Earth, then images were stacked together producing an image identical to a single exposure but with less digital noise.
曝光的天空被旋转着以补偿地球的自转，然后把一连串的图像叠放在一起，产生了与单一曝光相同的图像，可是很少有数码噪声。
They also try to detect if noise-the overexposed pixels within the image that create a grainy effect-was present at the time the photograph was taken or has been added later.
他们还试图检测噪声——图像中呈现粒状效果的过度曝光像素——是产生于照片被摄制的时刻还是后来才被加上的。
The objective is not simply to improve image resolution or signal-to-noise ratio; rather, it is to improve outcomes for individual patients and society at large.
目标并不是简单的提高图形分辨率或是信噪比率；确切的说，是给每个患者和社会带来更大程度的帮助。
Early film photographers shied away from capturing night scenes because these require prohibitively long exposures to maintain adequate depth of field, or produced unacceptable amounts of image noise.
早期胶卷相机使用者对夜间摄影避而远之，原因在于，或者是合适景深所需的长时间曝光无法达到，或者是产生太多噪点。
This way the exposure can always be decreased afterwards — while still maintaining minimal image noise because more light was collected at the digital sensor.
这样的话，可以通过后期处理减弱曝光度，同时因为相机感光较多，可以把噪点限制到最少。
Photos are unavoidably limited by the trade-off between depth of field, exposure time and image noise.
你必须在景深、曝光时间和噪点之间做出权衡。
Cons: no image stabilization and tests revealed some fringing and noise in both flash and daylight shots.
缺点：没有图像稳定和试验暴露了一些边缘和噪声在闪光灯和日光杆。
Experiments indicate that the traditional methods of edge detection are not ideal because of the bigger noise of remote sense image.
由于遥感图像一般带有较大的噪声，通过实验表明，用传统的边缘检测方法效果不理想。
In addition, the variation of pitch had some effect on the image noise.
此外，当螺距改变时，图像噪声亦呈现出规律性的变化。
Methods of reducing speckle noise in SAR image are discussed in this paper.
探讨了抑制合成孔径雷达图像相干斑噪声的方法。
The technology of impulse detection is the key technology of image filter of impulse noise.
脉冲检测技术是脉冲噪声图像滤波的关键技术。
The degenerative model is that original image was passed by operator or was acted on degenerative factor, and noise overlap-added, then, degenerated image was formed.
其退化模型是原始图像经过算子，或系统经退化因素作用之后和噪声叠加，以形成退化后的图像，即实际得到的图像。
Aiming at the noise in image transmission, the system adopts filter technique of local arithmetic operators to enhance the image quality.
针对图像传输过程中的噪声，系统采用了对噪声图像使用局部算子的滤波技术来提高图像质量。
In the algorithm, a new noise detection scheme is adopted to separate the pixels in the image into signal pixels and noise pixels.
该算法采用一种新的噪声检测方法将图像中的像素分为信号点和噪声点两类。
There is a variety of image noise, where impulsive noise is one of the most common forms.
图像的噪声有很多种，其中，脉冲噪声是最为常见的一种形式。
Noise filtering is a necessary step on image pre-processing stage in digital image processing.
在图像处理领域中噪声滤除是图像预处理阶段一项必不可少的工作。
Analyzed the image collecting process and type of the noise. Designed Auto-adapted filter to improve the quality of the image.
分析了图像采集过程及从中引入的噪声类型，设计了自适应滤波器用于降噪以提高图像质量。
Infrared image 's background is complicate, noise is serious.
红外图像背景复杂、噪声较为严重。
The traditional low-pass filter method can restrain the high frequency part and decrease noise but may destroy image detail, and other methods also have other defects.
传统的低通滤波方法将图像的高频部分滤除，虽然能达到降低噪声的效果，但会破坏图像的细节。
Experiment result shows that this algorithm avoids over-enhancement of noise while enhancing image details with good visual effect.
实验结果表明，该算法可以有效地增强图像的细节信息，减小噪声的增强幅度，改善图像的视觉效果。
The algorithm of spatially selective noise filtration is used to reduce noise of X-ray image according to the feature of automatic inspection of ammunition flaw.
针对炮弹装药疵病自动检测特点提出了用带空间选择性的去噪滤波算法对炮弹装药射线图像降噪。
The algorithm of spatially selective noise filtration is used to reduce noise of X-ray image according to the feature of automatic inspection of ammunition flaw.
针对炮弹装药疵病自动检测特点提出了用带空间选择性的去噪滤波算法对炮弹装药射线图像降噪。
应用推荐