✦ LIBER ✦

Rapid filtering of large medical images using one-dimensional convolution kernels

✍ Scribed by C.J. Gibson

Book ID: 103053382
Publisher: Elsevier Science
Year: 1993
Tongue: English
Weight: 907 KB
Volume: 23
Category: Article
ISSN: 0010-4825
DOI: 10.1016/0010-4825(93)90025-v

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✦ Synopsis

Ah&act-Many

image enhancement algorithms can be implemented by convoluting the image with a predeflned kernel function. A class of such functions is identified which has the property that a two-dimensional convolution can be exactly implemented-using two successive onedimensional convolutions along the rows and columns of the image. This leads to a simple and rapid algorithm for image enhancement, which can be applied to implement both low pass and high pass tilters. The technique enables large convolution masks to be used without excessive computation time and without the need for large intermediate storage arrays. This approach facilitates the interactive processing of high resolution digital medical images.

Digital images

Image filtering Image enhancement Fast Fourier transform

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