摘要
针对炭素材料X射线图像增强方法存在的增强效果问题,提出了基于小波变换与传统方法融合的增强方法.该方法充分利用了直方图均衡化能改善整幅图像对比度的能力和小波变换多尺度分析能力,首先用直方图均衡化方法对整幅图像进行灰度调整,然后对调整后的图像进行基于软阀值的小波高频增强,最后利用卷积滤波,平滑图像.实验结果表明,该方法对原图像中对比度差的细节有效地进行了增强,突出了图像的边缘特征,改善了图像的质量,其处理结果比现有的图像增强方法更令人满意.
To solve some problems on x - ray images enhancement of carbon material, a enhancemenl melhod based on wavelet transforms and traditional method fusion is advanced, the method makes the best advantage of thai histogram equalization improve image contrast and muhi - scale analysis of wavelet transforms, firstly, histogram equalization method is used to adjust image gray scale, then, soft - lhresholding wavelel high frequency enhancement method is made on the adjusted image, at last, convolution filtering is made to smooth image. The result of experiment shows thai the method can effectively enhance image detail, extrude image edge, and improve the image quality, this processing result is more satisfactory than tire traditional reinforced method of the picture.
出处
《湘潭大学自然科学学报》
CAS
CSCD
北大核心
2005年第4期104-107,共4页
Natural Science Journal of Xiangtan University
基金
企业横向项目(G1999064910)
关键词
炭素材料
X射线图像
小波变换
图像增强
cabon material
X - ray image
wavelet transforms
image enhancement