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。
Finally, we use the principle of wavelet edge detection and suggest an algorithm of automatic threshold choice according to difference color background in wavelet edge detection.
利用小波边缘检测原理，给出一种能根据不同彩色背景自动选取阀值的小波边缘检测算法。
The extraction algorithm of underwater objects based on wavelet edge detection is proposed to extract objects from complicated background combined with mathematics morphologic operation.
提出了基于小波多尺度边缘检测的水下图像处理算法，结合数学形态学运算和区域分割算法，把目标从背景中提取出来。
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.
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。
A method of calculating wavelet transformation filter coefficients for multiscale edge detection is given in this paper, and the efficiency of the method is clarified.
提出了一种用于多尺度边缘检测的小波变换滤波器系数的计算方法，并且以具体例子进行了检验，表明了该方法的有效性。
In this paper we introduce an effective algorithm for the deblocking of the JPEG compressed images based on the denoising and edge detection in wavelet domain.
利用小波分析良好的去噪和边缘检测特性，本文提出一种减少JPEG压缩图象中方块效应的有效算法。
Regarding this, a novel feature level approach to image fusion is proposed based on discrete dyadic wavelet transform for multi-scale image edge detection.
本文提出了一种基于离散二进小波变换的多尺度边缘检测和图像融合的方法，实现了特征级图像融合。
By applying wavelet analysis method to image edge detection, multi scale operator of wavelet analysis functions well for noise resisting ability and picture edge reserving.
将小波分析方法应用于图像边缘检测领域，小波分析的多尺度算子在抗噪声和保留图像边缘的能力上有比较好的效果。
This dissertation has studied the segmentation method of remote sensing image based on multiscale edge, based on wavelet, invariant moment and the edge detection technique of remote sensing image.
本文以小波分析、不变矩等数学理论和遥感图像边缘检测技术为研究背景，较深入地进行了遥感图像多尺度边缘分割的方法研究。
On the basis of the analysis of denoising and edge detection of vehicle recognition, this paper proposes an effective detection method based on anti-symmetrical wavelet.
在对车型识别去噪和边缘检测进行分析的基础上，提出了一种基于反对称小波的检测方法。
The fourth chapter discusses in detail a novel method for edge feature detection of images based on wavelet decomposition and reconstruction by means of interval biorthogonal wavelet.
第四章详细地讨论了利用区间双正交小波，根据小波分解和重构来提取图像的边缘特征的一种新方法。
By qualitative contrast between this two methods, explain wavelet transform edge detection algorithm detects the image that have edge distinct, fine, fight to chirp performance strong etc.
通过对这两种方法的定性对比，得出小波变换边缘检测算法检出的图像具有边缘清晰、细腻，抗噪性能强等特点。
This paper proposed a method for fabric defects edge detection based on discrete stationary wavelet transform (DSWT) and optimal threshold segmentation algorithm (OTSA).
文章提出了基于离散平稳小波变换和最佳阈值分割算法的织物疵点边缘检测方法。
On the basis of expounding the basic principle using 2-d wavelet transform for seismic attributes data, the paper built up the effective flow used for multi-scale edge detection of image.
本文在阐明二维小波变换用于地震属性数据基本原理的基础上，建立了小波变换用于图像多尺度边缘检测的有效流程。
It is also possible to analyze a gas liquid two phase flow condition through an edge detection of wavelet transformation and detect thermodynamic data in a gas liquid two phase flow.
对汽液两相的流动工况也可以用边缘检测小波变换去进行分析，并实现对汽液两相流动的热工数值检测。
A method of calculating wavelet transformation filter coefficients for multiscale edge detection is given in this paper, and the efficiency of the method is clarified.
本文在阐明二维小波变换用于地震属性数据基本原理的基础上，建立了小波变换用于图像多尺度边缘检测的有效流程。
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。
Research on image detection based on wavelet makes up the disadvantage in the traditional edge detection and improves the edge localization precision avoiding noise effectively.
基于小波变换的多尺度边缘提取算法，有效地弥补了传统的边缘检测算法的不足，在有效地抑制噪声的同时，提供了较高的边缘定位精度。
This paper use the multiscale wavelet analysis to filter the noise, then use wavelet transform local maximum in the detection to edge of image.
当图像数据混有噪声的时候，对边缘的检测比较困难。
Then design wavelet multi-scale edge detection algorithm based on fuzzy theory.
研究基于过采样滤波器组的多尺度边缘检测算法。
Then design wavelet multi-scale edge detection algorithm based on fuzzy theory.
研究基于过采样滤波器组的多尺度边缘检测算法。
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