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。
In order to get anti-noise and good localization image edges, a new fuzzy multi-scale edge detection algorithm is presented in this paper.
为了获取抗噪性强、定位准确的边缘，本文提出了模糊多尺度边缘检测算法。
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。
An improved multi-scale morphological edge detection algorithm is presented.
提出一种改进的多尺度形态边缘检测算法。
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。
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。
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。
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。
In this paper we present a new morphological edge detection method using a multi-scale approach.
提出一种适应于显微图像的多尺度形态边缘检测算法。
In this paper we present a new morphological edge detection method using a multi-scale approach.
提出一种适应于显微图像的多尺度形态边缘检测算法。
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