摘要
通过采用不同的图像处理技术手段对具有不同特性的织物数字图像进行处理,为织物密度的自动测量提供最佳质量的图像,利用二维离散傅里叶变换获得图像的频谱,然后对其进行图像增强和图像复原等操作,能有效地改善图像的质量,突出所需要的细节。介绍了二维离散快速傅里叶变换算法,以及在频率域中进行图像增强、图像复原等实验,并对实验结果总结分析。
The textile digital images with different characteristics are processed by different image processing technologies to provide the images with optimal quality for the automatic measurement of textile density.The two-dimensional discrete Fourier transform is adopted to get the frequency spectra of textile digital images,and then carry out the processing of image enhancement and image restoration.It can improve the image quality efficiently and extrude the details needed.The algorithm of two-dimensional discrete Fourier transform is introduced for automatic detection.The experiment of image enhancement and image restoration in frequency domain was performed.The experiment results are analyzed and summarized in this paper.
出处
《现代电子技术》
2011年第9期97-98,104,共3页
Modern Electronics Technique
关键词
图像增强
图像复原
傅里叶变换
频率域
image enhancement
image restoration
Fourier transform
frequency domain
