这在物体的边缘产生了一系列颜色，使图像变得模糊不清。
This creates a spectrum of colours at the edges of objects which blurs the image.
视图可能阴沉而朦胧，如果浮油区域靠近图像边缘的话，则会显得模糊。
The view may be cloudy or hazy, and if the oil slick location is near the edge of the image, it will be blurry.
如此便为图像边缘添加了模糊效果。
仿真结果表明：该算法具有较强的检测模糊边缘能力，是一种实用、高效的边缘提取算法，同时此方法很容易扩展到多阈值图像边缘处理。
Simulation results show that: the algorithm is a practical and efficient edge detection algorithm, and this method can easily extend to more threshold edge detection of image processing.
实验表明，彩色C-V方法用于分割边缘模糊和噪声污染较为严重的网点图像时，效果大大优于传统的分割方法。
The result of experiments show that color C-V method is far better than traditional methods when it transacts halftone images within fuzzy edges and severe pollution of noise.
实验结果表明，文中设计的模糊因子能有效的保证边缘图像细节和结构的质量。
Performance results show that in this paper fuzzy sets have been specifically designed to successfully preserve the quality of image details and textures.
基于模糊矩阵的双光谱图像融合法能比较好地兼顾图像融合中清晰度和融合边缘过渡两方面的要求。
It comes to the conclusion that, double spectrum image fusion method based on fuzzy matrix can better meet the requirements of clarity and fusion fringe transition in the image fusion.
模糊聚类算法(FCM)应用于数字图像的边缘检测已取得了较好的效果。
Fuzzy c-clustering algorithm (FCM) is a useful tool in edge detection of digital image.
本文结合遥感图像的实际背景，给出了可用于操作实施的模糊边缘检测数学模型和算法。
Conserdering the background of remote sensing image, this paper minutely gives out the fuzzy edge measuring's mathematics models and algorithm which may be used in operating.
用模糊方向属性特征描述单个边缘点笔画方向属性； 模糊方向特征是图像的模糊划分和边缘点的模糊方向属性特征的结合。
The fuzzy direction feature combines the fuzzy image division with the fuzzy direction property feature, which describes the stroke direction property of single edge point.
图像边缘检测的模糊方法能有效地将物体从背景中区分开来。
Objects can be effectively separated from the background by means of fuzzy math, method which is used to detect the image edge by a computer.
将该算法应用于模糊医学图像的边缘提取中。
通过对焊缝图像进行广义模糊增强处理表明，该算法在增强对比度同时又可较好保持边缘。
Using this algorithm to dealing with weld image, the contrast ratio can be improved and the edges can be preserved well.
本文提出一种首先进行平滑滤波，然后检测模糊边缘的方法来进行复杂景物图像边缘检测。
In the paper, a way of smooth filtering first, then detect edge using fuzzy sets in complex scene image is provided.
自然背景复杂的纹理特征和红外图像中的噪声影响，以及红外目标模糊的边缘，给红外目标的边界检测和分割带来一定的困难。
The effect of natural background and noise in infrared image, fuzzy edge of infrared object, make it difficult to segment and label artificial object in natural background.
这是因为图像可能有不同的模糊边缘宽度（景深）和在该中心通常有需要聚焦的被摄物体。
This is because an image can have a varying Blur Width (depth of field) and the subject which is to be in focus is usually in the center.
采用传统插值法放大的图像存在边缘锯齿化和边缘模糊化缺点。
The images magnified by traditional interpolation method have shortages such as blurred edges and jagged edges.
但SAR图像容易受到相干斑噪声的影响，而光谱图像普遍存在目标与背景对比度差、边缘模糊的缺点。
But SAR image is liable to be affected by speckle noise, while almost spectral image have shortcomings of low contrast between object and background, edge blurring.
而边缘检测提取的模糊方法可克服经典方法的不足，比较适合精细图像边缘的检测和提取；
The fuzzy method for edge detection and extraction, which overcomes the shortcomings of the classic method, is suitable for precision image edge detection and extraction.
平滑处理后图像的边缘轮廓更加模糊不清。
The outline of edge becomes more and more blurry after image smoothing.
然而，边缘检测又是图像处理中一个困难的问题，因为实际景物图像中的边缘往往是各种类型的边缘以及它们模糊化后结果的组合，实际图像信号存在着噪声。
Because of the noise in the image signal and all kinds of fuzzy edge combined in the image, the edge detection is one of the difficult problem in the image processing.
图像插值是图像处理的一项重要技术，经典的插值算法会产生细节模糊和边缘锯齿现象。
Image interpolation is an important technique of image processing. The blur and jaggy of image details or edges are inevitable during conventional image interpolation.
模糊技术早已应用于图像边缘检测，但是目前的方法对于复杂景物图像的边缘检测，效果不理想。
Fuzzy method has been used to detect edge, but it is not effective on complex scene image.
针对传统图像的质量评价测度，提出了一种基于边缘检测的无参考模糊图像评价模型。
Aiming at the traditional image quality assessment metric, this paper put forward a kind of no-reference blurred image assessment model based on edge detection.
最后利用迭代算法对边缘图像进行二值分割。对改进的模糊边缘检测算法进行了实验。
Then a new kind of edge detection operator was used to obtain edges from the enhanced image.
实验结果表明，与其他边缘检测算法相比，该算法能够较好地提取模糊医学图像边缘，具有较高的精度。
Experimental results show that, compared with other algorithms, it has higher accuracy and can extract fuzzy medical images edges better.
该文主要研究了受不同噪声污染图像的边缘提取问题，提出了一种基于模糊理论的边缘检测算法。
This paper mainly studies the edge detection of noisy images. An edge detector based on the fuzzy theory is presented.
该文主要研究了受不同噪声污染图像的边缘提取问题，提出了一种基于模糊理论的边缘检测算法。
This paper mainly studies the edge detection of noisy images. An edge detector based on the fuzzy theory is presented.
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