数字x光片的变换域边缘增强

Paik Chul Hwa, M. Fox
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引用次数: 1

摘要

增强的数字x线照片是通过将数字x线照片与高斯函数二阶导数的数字傅里叶变换(Delta /sup 2/g)相乘和逆变换,以及随后的直方图均衡化得到的。由于图像数据只包含实数值,因此使用称为快速哈特利变换(FHT)的纯实数变换对图像数据进行数字傅里叶变换。初步结果表明,与Sobel算子等空间域卷积技术相比,高斯拉普拉斯变换可以为医学图像提供更有效的边缘增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transform domain edge enhancement of digital radiographs
An enhanced digital radiograph is obtained by multiplication between the digital radiograph and the digital Fourier transform of the second derivative of the Gaussian function ( Delta /sup 2/g) and inverse transformation, and the subsequent histogram equalization. Because image data includes only real values, the purely real-numbered transform, called the fast Hartley transform (FHT) is used to perform a digital Fourier transform of the image data. Preliminary results suggest that the transform of the Laplacian of the Gaussian may provide a more effective edge enhancement for medical imagery than space-domain convolution techniques such as the Sobel operator.<>
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