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基于空域梯度算子和小波域多分辨分析的图像增强算法研究
引用本文:刘鑫淼,汪西原,马润渊.基于空域梯度算子和小波域多分辨分析的图像增强算法研究[J].宁夏工程技术,2009,8(2):117-120.
作者姓名:刘鑫淼  汪西原  马润渊
作者单位:宁夏大学物理电气信息学院,宁夏,银川,750021
摘    要:为改善图像的视觉效果,提出一种基于Sobel算子和Lplacian算子相结合的混合算法,并采用基于Sobel算子、Laplacian算子、小波变换和提升小波变换的算法,对滚珠缺陷图像和医学CT图像进行图像增强处理的算法研究.实验结果表明,混合算法适于滚珠缺陷图像的锐化,其效果优于另外4种算法;提升小波变换算法适于细节信息较为丰富的医学图像增强,与其他5种方法相比其效果最优.

关 键 词:Sobel算子  Laplacian算子  多分辨分析  提升小波变换算法  图像增强

Image enhancement algorithm of airspace gradient operator and wavelet-domain multiresolution analysis based
LIU Xinmiao,WANG Xiyuan,MA Runyuan.Image enhancement algorithm of airspace gradient operator and wavelet-domain multiresolution analysis based[J].Ningxia Engineering Technology,2009,8(2):117-120.
Authors:LIU Xinmiao  WANG Xiyuan  MA Runyuan
Affiliation:(School of Physics & Electrical Information, Ningxia University, Yinchuan 750021, China)
Abstract:This article presents a mixed algorithm based on combining Sobel operator and Laplacian, and aiming at the defected image of ball bearing and CT image, makes uses of Sobel operator, Laplacian, wavelet transform and lifting wavelet transform algorithm to study enhanced algorithm. Experimental results demonstrate that the effect of mixed algorithm is the best of four algorithm to ball defect image sharpening and lifting wavelet transform algorithm is applied to enhance medicinal image with particular information, and the effect is the best of all.
Keywords:sobel operator  laplaeian  multiresolution analysis  lifting wavelet transform  enhancement image
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