The application of wavelet transform to edge detection image

Yan Ding; Liudi Liu; Hong Guo

The application of wavelet transform to edge detection image

Yan Ding^*
, Liudi Liu
, Hong Guo

^*此作品的通讯作者

空天科学与技术学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

4 引用（Scopus）

摘要

Aim To study a new method of extracting features of the image. Methods According to the properties of its multi-scale, direction and local characteristic, the image edge features were provided by determining the local maxima of wavelet coefficients at dyadic scale of the image. Results The computer simulation was carried out on the 256×256×8 bits/pixel Lena image, and the continuous and smooth edge image under multi-scale can be got. Conclusion The features of image are extracted accurately. The experiment result reveals that the method is efficient and practicable.

源语言	英语
页（从-至）	621-624
页数	4
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	18
期	5
出版状态	已出版 - 1998

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链接到 Scopus 的出版物

引用此

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title = "The application of wavelet transform to edge detection image",

abstract = "Aim To study a new method of extracting features of the image. Methods According to the properties of its multi-scale, direction and local characteristic, the image edge features were provided by determining the local maxima of wavelet coefficients at dyadic scale of the image. Results The computer simulation was carried out on the 256{\texttimes}256{\texttimes}8 bits/pixel Lena image, and the continuous and smooth edge image under multi-scale can be got. Conclusion The features of image are extracted accurately. The experiment result reveals that the method is efficient and practicable.",

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author = "Yan Ding and Liudi Liu and Hong Guo",

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T1 - The application of wavelet transform to edge detection image

AU - Ding, Yan

AU - Liu, Liudi

AU - Guo, Hong

PY - 1998

Y1 - 1998

N2 - Aim To study a new method of extracting features of the image. Methods According to the properties of its multi-scale, direction and local characteristic, the image edge features were provided by determining the local maxima of wavelet coefficients at dyadic scale of the image. Results The computer simulation was carried out on the 256×256×8 bits/pixel Lena image, and the continuous and smooth edge image under multi-scale can be got. Conclusion The features of image are extracted accurately. The experiment result reveals that the method is efficient and practicable.

AB - Aim To study a new method of extracting features of the image. Methods According to the properties of its multi-scale, direction and local characteristic, the image edge features were provided by determining the local maxima of wavelet coefficients at dyadic scale of the image. Results The computer simulation was carried out on the 256×256×8 bits/pixel Lena image, and the continuous and smooth edge image under multi-scale can be got. Conclusion The features of image are extracted accurately. The experiment result reveals that the method is efficient and practicable.

KW - Edge detection

KW - Local maximum

KW - Multiresolution analyzing

KW - Wavelet transform

UR - https://www.scopus.com/pages/publications/2642572404

M3 - Article

AN - SCOPUS:2642572404

SN - 1001-0645

VL - 18

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JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 5

ER -

The application of wavelet transform to edge detection image

摘要

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