In chapter 3 we put forward a new set of parameter for evaluating the performance of image filters. Suppressing speckle and preserving edges are taken into account synthetically.
第三章提出了一种新的评价图像滤波器的指标，该指标综合考虑了抑制噪声和边缘保持两个因素。
Based on preknowledge of texture in an image, with needed constraint, the filters are derived.
基于图象中纹理的预知性，应用必要的约束条件推导出了该种滤波器。
For a given image, different combinations of filters and types of CA could produce better or worse results.
对于给定的图像，各种过滤器和ca类型的组合可以生成更好或更差的结果。
To help you quickly narrow your image search, the Explorer pane provides filters for narrowing your search results by using attributes such as size, layout, color, style, and people (Figure c).
为了帮助你快速缩小搜索范围，浏览窗格通过使用大小、布局、颜色、格式及人物等属性，提供过滤功能来缩小搜索结果范围(图c)。
I've mainly experimented with filters that operate on color, but it would be interesting to experiment with filters that change spatial relationships in the image.
我主要实践了操作颜色的过滤器，但更改图像空间关系的过滤器也很有趣。
SELECT queries that specify image processing functions in their query filters now run faster because they use the index to determine whether or not each tuple satisfies the query.
SELECT查询在查询过滤器中指定图像处理函数，现在，这些查询的运行速度得到了提高，因为它们使用索引判断每个元组(tuple)是否满足查询。
The image was captured using four narrow-band filters that have been tuned to see hydrogen as well as ionized helium, sulfur and oxygen.
获取该图像时使用了四个窄带滤光片，它们都被调谐到可见氢、电离氦、硫和氧。
This filter, under the "Filters" menu, allows you to move, smudge, squish, and otherwise distort your image.
这种过滤器，在“过滤器”菜单，允许您移动，涂抹，果酱，并扭曲的形象。
Secondly, the medical image is processed by the morphological filters.
其次，用形态滤波器对医学图像信号进行了处理。
Based on preknowledge of texture in an image, by using least squares defintion and with needed constraint, the filters are derived.
基于图象中纹理的预知性，应用最小二乘法及必要的约束条件推导出了该种滤波器。
Now came the final stage, where once again I applied a series of filters intending to soften the edges of the image but also maintaining the sharpness and the correct level of grain.
现在到了最终的阶段，我再一次应用了计划中的一系列滤镜以使图像的边界柔和，但是同样保留了锐化以及颗粒的正确强度。
Classical filters can restrain it with the loss of image details.
经典的图像滤波器在抑制噪声的同时会丢失图像中的细节。
Noise has serious effects on quality of successive image processing. Classical filters can restrain it with the loss of image details.
噪声对后续图像处理的质量有严重影响，经典的去噪方法在抑制噪声的同时会丢失图像中的细节。
On the other hand, due to the low-pass filters fixed, these algorithms fail to utilize the information of the image itself.
另外，由于内插滤波器是确定的，因而这些插值算法就缺乏利用图像本身信息的机制。
By exposing under different light filters, photographs with different image contrast can be obtained.
曝光时使用不同滤色镜即可获得影像反差不同的照片。
Then with the help of steerable filters, the method detects image edges and the orientations of them.
然后利用方向可变滤波器检测图像边缘及边缘方向特性；
The result shows that the algorithm filters the SAR image speckle noise efficiently, meanwhile it has much stronger ability to maintain the detail information.
结果表明，该算法在有效滤除SAR图像斑点噪声的同时，有更强的图像细节信息保持能力。
Therefore, the filters constructed in this paper are ideal replacement of CDF97 in standardized image compression systems based on wavelets.
因此，在标准化图像压缩系统中，本文的滤波器是CDF97理想的替代者。
Dual filters are adopted in the former algorithm, obtaining clear image with sharp edge and good visual impression.
前一种算法采用双滤波器结构，既保证了图像的清晰度又使其边界锐利，获得了较好的视觉效果。
An adaptive threshold which is a low frequency passed image based on wavelet multiresolution filters is proposed for binarization, and the result is satisfactory.
提出通过小波多分辨力滤波将滤波以后的低通图像作为图像的自适应阈值进行二值化，获得了比较理想的效果。
The image noise filters are classified into optimal filters, adaptive weighted mean filters, and order statistics filters.
本文将图象噪声滤波器分为最佳滤波器、自适应加权均值滤波器和顺序统计滤波器三类。
Filtering the intensity image by CB morphological filters, the idea of CB morphological scale space is constructed, by which to realize multi scale corner detection.
用CB形态滤波器对灰度图进行滤波，构成CB形态学尺度空间，以实现对拐角的多尺度检测。
Edge detecting an image significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image.
边缘提取可以明显的减少数据量，并且可以滤去一些没用的信息。同时，它也保留了图像重要的结构性质。
An image fusion algorithm based on steerable filters is presented in this paper.
该文提出了一种基于方向可调滤波器的图像融合新方法。
The Hubble image is a composite of exposures through narrow-band filters, presenting emission from nitrogen, hydrogen, and oxygen atoms in the nebula as red, green, and blue hues.
这张哈勃影像是一组通过窄带滤波器拍摄到影像合成，影像中显现了由氮，氢，氧原子放射出的色彩，分别是红色，绿色和蓝色辉光。
The new image was assembled from a series of separate images that were taken through different filters with a total exposure time of close to 50 hours.
这张新的图片是由许多用不同滤光片将近曝光50小时拍摄的图像合成的。
Enhancement and binarization algorithm are the emphases among them. According to fingerprint feature, orientation map is calculated, and image is denoised by orientation filters.
重点研究图像的预处理增强算法和二值化算法，根据指纹图像的方向性信息求出方向图，并利用方向滤波器对原图像进行滤波去噪。
Enhancement and binarization algorithm are the emphases among them. According to fingerprint feature, orientation map is calculated, and image is denoised by orientation filters.
重点研究图像的预处理增强算法和二值化算法，根据指纹图像的方向性信息求出方向图，并利用方向滤波器对原图像进行滤波去噪。
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