通过将图像分为非边缘部分和边缘部分，得出了一种基于图像边缘信息的图像插值算法。
An image interpolation algorithm based on image edge information can be elicited from dividing image into no-edge areas and edge areas.
实验表明，动态中值滤波可以显著减少图像噪声，同时又保留了大部分的图像边缘信息。
Results showed that the noises of an image of marker-line for road were significantly decreased and most of edge information of the marker-line was remained after the adjustable median tilting.
如何有效地增强图像边缘信息，消除图像的噪声是图像处理和计算机视觉研究中的基本问题。
Enhance edges of images efficiently and removal noises in images are fundamental issues in the field of image processing and computer vision.
寻求一种既能有效地减小噪声，又能很好地保留图像边缘信息的方法，是人们一直追求的目标。
Therefore, hunting for a method of denoising efficiently and keeping the edge information simultaneously are goals people have been pursuing all the time.
如何寻求一种既能有效地减少噪声、又能很好地保留图像边缘信息的方法，一直是人们努力追求的目标。
How to find a kind of method that not only is able to reduce the noise effectively but also can retain edge information of the image well is always being pursued by people.
在灰值形态学梯度算法和多方位形态结构元素形态学理论分析基础上，提出了提取遥感图像边缘信息的新方法。
Based on morphology grads algorithms and multi-direction morphology structure element of mathematical morphology theory, this paper presents a new method for remote sensing image edge detection.
为了实现较完整的视频对象分割，提出了一种基于视频图像边缘信息和最小错误率的贝叶斯决策理论的视频对象分割算法。
To realize video object segment, we proposed one algorithm base on Bayes decision-making theory with least risk and video sequence edge information.
与一般的基于视觉原理的图像系统相比，这种以人工感受野为基础的系统，在图像输入的同时即可并行地提取图像边缘信息，而更接近于动物视觉系统原型。
Uulike general image system, based on artificial receptive field, this image system can extract edge information simultaneously when the image was being input. It was close to animal visual system.
图像的边缘包含了目标的大量特征信息。
The image edges included most feature information of the target.
在边缘图像的基础上，以局部方向作为启发信息，跟踪道路边界，得到第一类道路边界的线段表示。
Take the local direction as the heuristic information, trace the road boundaries on the edge image and get the line segment representation of the first catalog road boundaries.
视频数据除了具有与图像一样的空间特性外(如颜色、边缘和纹理等)，还具有时序特性，即视频中存在运动信息。
A video sequence possesses not only spatial properties like images, such as color, edge, texture, but also temporal properties, namely, the motion information.
与原有的LUM滤波器相比，它能缩短程序运行的时间，较好地降噪，保护图像的有用信息，更好地增强图像的边缘。
Comparing with original LUM filter, it can shorten the running time of the program, reduce the noise, keep the useful information and enhance the edge of the image.
常用的空间自适应滤波方法在滤除噪声的同时，损失了图像中的大量边缘细节信息。
The commonly spatial adaptive noise filter can reduce the noise effectively, but at the same time leads to the loss of a large number of image edge detail information.
考虑SLM显微图像的特征和图像的彩色信息，在HSI彩色空间和向量空间的基础上，提出了两种基于小波变换的边缘检测算法。
Considering the characteristics of SLM microscopic images and color information of them, two wavelet transformation based methods in HSI color space and vector space for edge detection are proposed.
通过计算图像梯度信息，选取边缘区域像素作为控制点，既改善减影图像质量，又提高运算速度。
The quality of the subtraction image was improved and computation time was reduced by selecting edge pixels as triangular control points.
从实验的效果看，在图像的清晰度和边缘信息的丰富度上确实有了较大的提高。
From the results of the experiments, we can find that the images are much clear, and richer in edge information.
光学图像微分(边缘增强)是光学信息处理中突出信息的一种重要方法。
Optical image differentiation (edge extraction) is an important method of stand out the information in optical image processing.
本文利用火焰的颜色信息，火焰的图像序列的边缘不稳定和相似性等可识别特征，实现对火焰的识别。
This paper use effective character of the fire, for example, color information, instability and comparability of the edge of image sequence to realize the automatic alarming for fire.
提出了一种二次反锐化掩模算子(QUM)，用于从图像中提取等比重的边缘和细节信息。
A quadratic unsharp masking (QUM) operator is presented, which extracts edge and detail information from an image with equal weights.
给出了一种基于最大互信息和边缘互方差的医学图像配准算法。
Gives a new algorithm of medical image registration based on maximum of mutual information and edge correlative deviation.
基于小波分解，提出了一种融合算法，该算法在小波分解的子带图像中提取局部边缘信息作为融合规则，较好的实现了两幅互补皮革图像的融合。
Based on wavelet decomposition this paper presented a fusion algorithm, which extracted the local edge info in subband images as fusion rule and fused two leather images with complementarity.
而常用的去噪算法在去噪的同时会损失图像的边缘信息，所以本文在去噪前预先保留了图像的边缘信息。
To solve the problem of losing part of edge in the SAR image de-noising, the edge of image can be preserves beforehand.
细胞图像中的边缘信息是极为有用的，它是进一步进行细胞图像分割的基础，直接影响到细胞图像识别与分析的正确性。
The edge information of cell image is very useful, which is the basis of cell image segment, it can affect the correctness of cell image recognition and analysis directly.
虽然每种去除斑点噪声方法都能有效去除斑点噪声，但都不同程度地损失了图像的边缘信息。
Although these methods can effectively reduce speckle in SAR images, they blur edge and texture information.
在对SAR图像的分析和识别中，边缘的检测信息十分重要。
The edge detection of SAR is very important for image analysis and recognition.
这样，滤波时就可以考虑到图像的亮度信息，在滤除图像噪声的同时尽量保持了图像的边缘。
In this way, image brightness will be taken into account and the image edge should be simultaneously maintained as possible during filtering image noise.
提高纹理清晰度、保护边缘信息是合成孔径雷达(SAR)图像融合的重要目标。
Improving texture and preserving edge is the important target of synthetic aperture radar (SAR) image fusion.
在数字图像小波多分辨率分析理论基础上，采用小波变换方法对高分辨遥感图像的目标地物边缘进行信息增强，然后与多光谱遥感图像进行特征信息融合。
After the wavelet's multi-resolution analysis, a feature fusion approach was adopted to enhance remote sensing image edge and improve the definition and resolving power of the image.
不同的微分算子对边缘的敏感程度是不同的，如何选用适当的边缘检测算子得到准确的边缘信息，就成为断口图像处理的关键步骤。
Sensitivity is different for different differential operators, how to choose a suitable edge detection operator to obtain exact information of edge, is the essential step for fracture surface image.
不同的微分算子对边缘的敏感程度是不同的，如何选用适当的边缘检测算子得到准确的边缘信息，就成为断口图像处理的关键步骤。
Sensitivity is different for different differential operators, how to choose a suitable edge detection operator to obtain exact information of edge, is the essential step for fracture surface image.
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