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dc.contributor.authorHall, E. L.
dc.date.accessioned2016-04-25T16:46:12Zen
dc.date.available2016-04-25T16:46:12Zen
dc.date.issued1971-09en
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/606998en
dc.descriptionInternational Telemetering Conference Proceedings / September 27-29, 1971 / Washington Hilton Hotel, Washington, D.C.en_US
dc.description.abstractImage enhancement techniques are designed to improve image quality for human viewing and are especially important in X-ray imaging systems since radiation levels must be minimized. Recursive spatial digital filtering and gray level transform enhancement techniques which may be implemented with small memory requirements and fast computation times will be described. A comparison of computations shows that this method is competitive with fast transform methods in terms of the number of computations and advantageous in terms of memory requirements. The most common method for evaluating enhancement results is subjective human evaluation. An experimental comparison of subjective evaluations and some objective measurements for a series of chest X-rays illustrate the evaluation problem and a possible solution.
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.language.isoen_USen
dc.publisherInternational Foundation for Telemeteringen
dc.relation.urlhttp://www.telemetry.org/en
dc.rightsCopyright © International Foundation for Telemeteringen
dc.titleDigital Filtering Techniques for X-Ray Image Enhancementen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentUniversity of Missouri-Columbiaen
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en
refterms.dateFOA2018-09-11T09:33:20Z
html.description.abstractImage enhancement techniques are designed to improve image quality for human viewing and are especially important in X-ray imaging systems since radiation levels must be minimized. Recursive spatial digital filtering and gray level transform enhancement techniques which may be implemented with small memory requirements and fast computation times will be described. A comparison of computations shows that this method is competitive with fast transform methods in terms of the number of computations and advantageous in terms of memory requirements. The most common method for evaluating enhancement results is subjective human evaluation. An experimental comparison of subjective evaluations and some objective measurements for a series of chest X-rays illustrate the evaluation problem and a possible solution.


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