Construction of an image recognition process on the basis of optical Fourier diffractometry: application to degraded bone structure classification

Jacek Galas; Marek Daszkiewicz; Andrzej Sawicki; Krzysztof Godwod; Jacek Szawdyn

doi:10.1117/12.163160

1 April 1994 Construction of an image recognition process on the basis of optical Fourier diffractometry: application to degraded bone structure classification

Jacek Galas, Marek Daszkiewicz, Andrzej Sawicki, Krzysztof Godwod, Jacek Szawdyn

Author Affiliations +

Optical Engineering, Vol. 33, Issue 4, (April 1994). https://doi.org/10.1117/12.163160

Abstract

A hybrid optical and digital image recognition method (based on optical Fourier diffractometry) applied to the detection of disease-induced pathological changes in bones is presented. X-ray bone images are analyzed in a new type of computer-controlled diffractometer. The set of image parameters, extracted from the diffractogram, is evaluated by statistical analysis. The synthetic statistical image descriptors, constructed based on the groups of training images, enable recognition of bone samples with degraded bone structure and then recognition of disease. About 89% of images were classified correctly. After optimization, this method can be applied to a computer-aided medical diagnosis process.

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Jacek Galas, Marek Daszkiewicz, Andrzej Sawicki, Krzysztof Godwod, and Jacek Szawdyn "Construction of an image recognition process on the basis of optical Fourier diffractometry: application to degraded bone structure classification," Optical Engineering 33(4), (1 April 1994). https://doi.org/10.1117/12.163160

Published: 1 April 1994

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