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基于小波变换算法的图像处理技术研究
引用本文:崔磊,纪建伟. 基于小波变换算法的图像处理技术研究[J]. 农业网络信息, 2007, 0(7): 35-37
作者姓名:崔磊  纪建伟
作者单位:沈阳农业大学,辽宁,沈阳,110161;沈阳农业大学,辽宁,沈阳,110161
摘    要:为了提高农作物叶部病害识别的可靠性,本文提出基于小波变换算法的农作物叶部病害图像处理技术.在图像分解的基础上,应用二维离散小波变换,论述了二维小波变换在农作物叶部图像去噪和图像增强中的应用.仿真实验结果表明此方案能够有效改善图像质量,提高对象识别的可靠性.

关 键 词:二维小波变换  图像处理  图像去噪  图像增强
文章编号:1672-6251(2007)07-0035-03
收稿时间:2007-04-02
修稿时间:2007-04-022007-04-04

Imagery processing engineering research based on wavelet transform algorithm
CUI Lei,JI Jian-wei. Imagery processing engineering research based on wavelet transform algorithm[J]. Agriculture Network Information, 2007, 0(7): 35-37
Authors:CUI Lei  JI Jian-wei
Affiliation:Shenyang Agricultural University, Shenyang 110161, China
Abstract:This paper brings forward image processing technology based on wavelets transform algorithm about the diseases of the crop leaves.It adopts two-dimensional wavelets transform.Based on the image decomposition,the noise elimination and the enhancement of the crop leaves image are analyzed.Results show that the method can effectively amend the image quality and improve the dependability of the object recognition.
Keywords:Two-dimensional wavelets transform   Image processing   Image de-noise   Image enhancement
本文献已被 CNKI 维普 万方数据 等数据库收录!
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