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 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。
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。
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