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。
Based on the discussion of the theory of wavelet transform of images, a practical multi scale edge detecting method is put forward and the ways to suppress noise interference are discussed.
在对图像的小波变换原理讨论的基础上,提出了一种较为实用的图像多尺度边缘检测方法,同时对如何抑制噪声的干扰进行了讨论。
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。
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 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。
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。
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。
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 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。
This paper proposed a new contour reconstruction method combining multi-scale strategy, and the core component of new method is edge distance graph algorithm.
设计了一种将轮廓线三维建模与多尺度二维图像处理技术相结合的新方法。该方法的核心是边缘距离图算法。
And then a new edge detector is defined by using the multi-scale operation of the modified morphological transform.
在此基础上利用改进形态学算子的多尺度运算定义了一种新的边缘检测算子。
Edge detction based on wavelet multi-scale identity is made. The statistics features based on regional gray and the co-occurrence matrix of gray level are taken as performing image segmentation.
该系统先对粮虫图像进行小波边缘提取,根据灰度共生矩阵和局部统计方法提取小波分割后的图像纹理特征。
Edge detction based on wavelet multi-scale identity is made. The statistics features based on regional gray and the co-occurrence matrix of gray level are taken as performing image segmentation.
该系统先对粮虫图像进行小波边缘提取,根据灰度共生矩阵和局部统计方法提取小波分割后的图像纹理特征。
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