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.
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。
H. 264's, by comparison, is strength-adaptive based on whether DCT coefficients exist on either side of a given edge and based on the motion vector delta and reference frame delta across said edge.
对比之下，H . 264是强度自适应的，基于DCT系数是否存在给定边缘的任何一边，和基于运动矢量差值和参考帧在边缘的差值。
One kind of local adaptive smoothing feature enhancement and edge detection algorithm is given.
提出了一种局域自适应平滑特征增强和边缘提取算法。
In this paper, a direct edge detection method which combines filtering and detecting is introduced. The edge detection is based on adaptive stack filter.
本文介绍了一种边界直接检测法，即将边界检测与噪声滤波相结合，它是基于自适应堆滤波的边界检测法。
To discern edge and noise in multiresolution edge detection used single threshold, we put forward a kind of adaptive threshold and improve the method of edge linking.
针对小波变换多分辨率边缘检测中单一阈值难以区分边缘与噪声的问题，本文提出了一种自适应的阈值方法，并改进了边缘链接方法。
This paper presents an adaptive exponential filter used for edge detection. It can be designed to eliminate the noise of image and obtain good precision of edge localization.
本文提出一种用于图像边缘检测的自适应滤波器，利用它既可滤除图像噪声，又可获取精确度高的图像边缘。
This paper describes adaptive correlation tracking based on edge detection to overcome the time-consuming and cumulated errors in correlation tracking.
针对相关跟踪实时性差和误差累积问题，提出了基于边缘检测的自适应相关算法。
A new method of adaptive threshold selection is proposed which combines the edge feature of the color image based on the theory of mathematical morphology.
提出了一种自适应图像二值化方法，它基于数学形态学理论，求取彩色图像边缘特征，并将它与灰度直方图二值化方法相结合。
This thesis proposes an algorithmic adaptive image enhancement method based on pixel classification, but this method only can change edge slope and can not change edge contrast.
本文在图像自适应增强方面，提出了基于像素分类的算法自适应图像增强方法。但是这种方法只能改变边缘的斜率而不能改变边缘两侧的对比度。
Experiment results show that when threshold is adaptive, not only the weak edge can be obtained but also the strong and the weak edge coexisted.
采用自适应阈值时，还能较好地保留微弱边缘，对强弱边缘同时存在的图像有较好的适应能力。
Based on the analysis and on the ratio between region energy threshold difference and region area, the adaptive multiscale edge detection method is developed.
在此基础上提出了一种基于区域能量阈值差与区域面积比值的自适应多尺度方法，最后给出了仿真实验以及与传统方法的对比。
The edge detection for the different images can be carried out by the introduction of adaptive threshold.
自适应阈值的引入，能够实现不同图像的边缘检测。
Aimed at their defects in parameter estimation, an enhanced auto adaptive edge detection method for parameter estimating is presented firstly.
针对传统参数估计方法的缺陷，提出了增强的自适应边缘检测参数估计方法。
The process of image treatment is as follow: filter, enhance, making binary image by adaptive threshold, edge detection and so on.
本文所采用的图像处理主要步骤为：滤波、增强、自适应阈值二值化、边缘提取等预处理。
An adaptive multi scale edge detection algorithm and its fast implementation are presented in this paper.
提出了自适应多尺度边缘检测算法及其快速实现办法。
This paper presents a new adaptive multilevel median filter based on direction information measure to solve the contradiction between noise attenuation and image details-preserving (edge-preserving).
针对图像滤噪中滤除噪声和保护细节(边缘)的矛盾，本文提出一种新的基于方向信息测度的自适应多级中值滤波器。
This paper gives an adaptive edge detection algorithm based on rough set, carries out some researches on the ba-sic theory, realization and complexity of the algorithms.
利用粗糙集理论，给出了一种基于粗糙集的图像边界检测算法，研究了算法的基本原理、实现和复杂度。
We suggest also some methods of adaptive coding and that for selecting the effective edges according to the statistics of edge in an image.
其次根据图象边沿信号统计性质提出边沿信号的选择和自适应编码方法。
The shortcoming of morphological edge enhancement algorithm has been discussed. Based on that, an adaptive edge width reduction enhancement fuzzy algorithm is presented.
针对形态边缘减宽增强算法的不足，提出了一种自适应模糊边缘减宽增强算法。
In this paper, a new method of multi-scale and adaptive thresholds edge detection for image based on wavelet transform was adopted to detect edge of traffic vehicle.
本文把基于小波变换的多尺度自适应阈值图像边缘检测的新方法应用于交通图像边缘检测。
In this paper, two kinds of adaptive window nonlinear edge-preserving filters are proposed.
本文提出两种自适应窗非线性边缘保护滤波器。
In this thesis, the control law based on adaptive filter for Smart Rotor with actively controlled trailing edge flap is researched.
本文主要研究基于自适应滤波的主动控制后缘附翼智能旋翼控制律设计问题。
To avoid generating cracks in adaptive subdivision surface, a new edge sampling based method which processing surface cracks was provided.
为了避免曲面在非均匀细分过程中产生裂缝，提出了一种基于边界采样的曲面裂缝处理方法。
This paper aims at presenting an investigation into aerodynamics and control reversal characteristics of adaptive wings with seamless, variable camber, flexible trailing edge.
建立了带柔性后缘自适应机翼模型和带刚性偏转后缘的传统机翼模型，从升阻特性和力矩特性以及操纵效率对它们进行了比较研究。
An adaptive speckle filtering algorithm is proposed. It detects image points belonging to edge based on wavelet transform. Speckle are filtered according to detect results and multi-look.
提出了一种自适应斑点滤波算法，它基于小波变换检测图像中的边缘点，根据检测结果结合多视处理实现斑点滤波。
Firstly, an adaptive segmentation DCT coding method based on edge information measure is developed.
首先提出了基于边缘信息测度的四叉树自适应分块的DCT压缩算法。
When a candidate ellipse is validated, a new method is proposed to judge if edge points are on the ellipse, and an adaptive threshold is supplied to confirm real ellipses.
在验证候选椭圆时，提出了一种新方法来判断边缘点是否在椭圆上，并且给出了确定真实椭圆的自适应阈值。
It can be used as adaptive control of video signal. These real-time processing system contain real-time noise reduction, realtime detection of moving targets, edge detection and others.
该噪声值可以用于视频降嗓器、运动目标检测和图像边缘检测等实时系统，对视频信号进行自适应处理。
This paper presents a new algorithm for edge detection based on homogeneity and time adaptive self-organizing neural networks (TASOM).
本文提出了一种新的基于同质性和时间自适应自组织神经网络(TASOM)的边缘检测算法。
This paper presents a new algorithm for edge detection based on homogeneity and time adaptive self-organizing neural networks (TASOM).
本文提出了一种新的基于同质性和时间自适应自组织神经网络(TASOM)的边缘检测算法。
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