1985
DOI: 10.1117/12.949482
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Port Film Enhancement By Digital Processing

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Cited by 4 publications
(1 citation statement)
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“…The general segmentation problem has been attaeked on a broad front [1,2], and thresholding, in partieular, is a popular method [1,[3][4][5][6]. Unfortunately, geometrie unsharpness destroys the erisp edges needed for unambiguous deeisions, and this diffieulty ean be eonsidered a problem in filtering in whieh the objeet is to devise a high-pass (sharpening) filter.This approach has been studied for more than 20 years [7][8][9][10][11][12][13].The inverse filter ean be devised either in the spatial domain or the frequeney domain.Both eases require either a model of the degradation proeess (geometrie unsharpness), or a set of "ideal" image/degraded image pairs from whieh an inverse filter ean be ealeulated by some estimation method (such as least squares).In the ease of radiography with an ineoherent source, a simple model of the imaging proeess leading to a frequeney domain solution ean be developed.The remainder of this paper deseribes a model of the radiographie proeess and the eonsequenees of eertain eonditions and simplifying assumptions. A partieular method of inverse filtering (Wiener filtering) is applied to some digitized radiographs and the results are diseussed.…”
mentioning
confidence: 99%
“…The general segmentation problem has been attaeked on a broad front [1,2], and thresholding, in partieular, is a popular method [1,[3][4][5][6]. Unfortunately, geometrie unsharpness destroys the erisp edges needed for unambiguous deeisions, and this diffieulty ean be eonsidered a problem in filtering in whieh the objeet is to devise a high-pass (sharpening) filter.This approach has been studied for more than 20 years [7][8][9][10][11][12][13].The inverse filter ean be devised either in the spatial domain or the frequeney domain.Both eases require either a model of the degradation proeess (geometrie unsharpness), or a set of "ideal" image/degraded image pairs from whieh an inverse filter ean be ealeulated by some estimation method (such as least squares).In the ease of radiography with an ineoherent source, a simple model of the imaging proeess leading to a frequeney domain solution ean be developed.The remainder of this paper deseribes a model of the radiographie proeess and the eonsequenees of eertain eonditions and simplifying assumptions. A partieular method of inverse filtering (Wiener filtering) is applied to some digitized radiographs and the results are diseussed.…”
mentioning
confidence: 99%