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, 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.
摘要：为了提取含有噪声的激光扫描距离图像中的特征，提出了一种多尺度自适应滤波方法。
Abstract: an adaptive smoothing algorithm within a scale space framework is proposed to extract the features of noisy range images of a laser rangefinder.
该算法对图像进行多结构多尺度自适应形态滤波处理，从而抑制图像的暗噪声和暗纹理细节。
The algorithm first executed the adaptive morphological filtering of fusion to restrain dark noise and texture details of the images.
该方法采用了由粗到细的多分辨率技术，以及自适应多尺度与自适应阈值技术。
In this method, the multiresolution technology is used so that the image can be analyzed from coarse to fine.
提出了自适应多尺度边缘检测算法及其快速实现办法。
An adaptive multi scale edge detection algorithm and its fast implementation are presented in this paper.
该滤波器能够根据图像区域特性差异及噪声强弱自适应地采用不同的滤波尺度。
Meanwhile, the filter can adopt different filter scale in adaptive mode in the light of character divergence of image region and intensity of noise.
针对复杂情况下变尺度目标跟踪问题，提出一种基于粒子滤波的自适应尺度目标跟踪算法。
To track objects with scale changes in a complex scene, a particle filter based object tracking approach is proposed in this paper.
探讨了基于DEM的VLL物方影像匹配方法、多尺度表达的数字高程模型，以及自适应窗口大小和变化阈值的确定等用于三维变化检测的关键技术。
And many key techniques such as VLL matching, multi-scale DEM, self-adapted matching window and thresholds for the framework are discussed and investigated deeply.
针对小波变换多分辨分析(mra)的特点，本文提出一种多尺度分级的自适应模糊权重中值滤波的去噪方法。
According to the feature of the MRA, this paper presents a noise filtering method of adaptive fuzzy threshold for wavelet classification base on multi resolution.
本文先介绍了小波边缘检测的原理，在此基础上，针对尺度的选取提出了一种自适应的方法，并做了实验。
This paper firstly introduces the principles of wavelet edge detection, and then presents an algorithm based on the edge detection, finally does experiments.
本文提出了一种基于模糊控制技术的伺服控制系统，并设计了尺度变换比例因子自适应调节的模糊控制算法。
In this paper, a servo control system is designed based on fuzzy control technology, and then a fuzzy control algorithm with parameter adaptation is presented.
为了有效地模拟跨越多个尺度的非均质多孔介质中的非饱和水流问题，本文提出一种自适应多尺度有限元方法。
The purpose of this method is to obtain the large-scale solution of unsaturated water flow equation with heterogeneous coefficients accurately and efficiently in a coarse-scale mesh.
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。
Based on the analysis and on the ratio between region energy threshold difference and region area, the adaptive multiscale edge detection method is developed.
针对这种相关性，并结合薄雾退化图像的特点，采用了一种多尺度的处理方法，对处理后的图像采用自适应中值滤波器滤除噪声。
According to this correlation and the features of the degradation images by fog the method of multi-scale process was used in this paper.
利用多尺度插值小波理论，提出一种适合于求解一般边界层状介质波传问题的快速自适应配点算法。
An interpolating wavelet collocation method (IWCM) for adaptive solution of wave propagation in layered media with non-periodic boundary condition is presented.
在图像处理方面，小波变换是尺度可随图像局部区域特征的不同进行自适应调整，并在这些尺度上检测的一种图像算法。
In the image processing, the scale of the wavelet can adaptively adjust and detect according to the difference between the character in the local image.
为防止进化停滞，自适应地调整亲和度尺度变换参数。
Also, to prevent evolutionary stagnation, the scaling factors of affinity are adaptively adjusted.
提出了基于可调模糊规则及可调输出尺度变换因子的TCSC自适应模糊阻尼控制器的设计方法。
A new scheme of adaptive fuzzy damping controller of TCSC, based onadjusting control rules and output scaling factor, is proposed.
通过网络的学习自适应地调整尺度参数和时移因子，提高了特征提取能力。
Time-shift and scale parameter may be adjusted by the neural network. Therefore wavelet neural network may improve the detection rate and reliability of ECG signal.
充分利用二元树复数小波域内系数尺度间和尺度内的统计依赖关系，提出了一种新的局部自适应图像去噪方法。
A new locally adaptive image denoising method, which exploits the intra-scale and inter-scale dependency in the dual-tree complex wavelet domain, is presented.
结合地震图像噪声的特点，利用多尺度小波变换的优点，提出一种新的自适应小波阈值去噪算法。
Combined with the characteristics of seismic image noise, using multi-scale wavelet transform, presents a new adaptive wavelet threshold denoising algorithm.
该文方法保证跨尺度自相似集具有相同的稀疏性模式，能更有效地利用图像的自相似性先验信息，提高算法的自适应性。
This method keeps the patches pairs the same sparsity patterns, and makes efficiently use of the self-similar information. The adaptability is enhanced.
改进算法对不同源图像的对应尺度系数进行自适应加权相加，以获得融合后的尺度系数。
The modified method USES adaptive weighted addition to obtain the fused scale coefficients according to the corresponding scale coefficients of the different source images.
改进算法对不同源图像的对应尺度系数进行自适应加权相加，以获得融合后的尺度系数。
The modified method USES adaptive weighted addition to obtain the fused scale coefficients according to the corresponding scale coefficients of the different source images.
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