Application of the X-ray measurement model to image processing of X-ray radiographs Siwek, Elizabeth
dc.contributor.department Electrical and Computer Engineering 2018-08-24T19:44:28.000 2020-06-30T08:20:27Z 2020-06-30T08:20:27Z Sat Jan 01 00:00:00 UTC 1994 2013-12-13 1994
dc.description.abstract <p>Information can be conveyed in many forms, yet it is perhaps easiest interpreted when in a visual form. The human mind has the ability to look at a scene containing complex patterns and extract particular features by considering the content of the entire image and focusing on the items of interest. The processing power, speed to decipher images, and complexity of the human brain has yet to be matched by any artificial means. Although the brain is a excellent processor and interpreter, a human can tire and become less accurate with time, potentially causing costly errors. Since consistency is especially important in inspection situations, it is desirable to automate part or all of the vision process to simplify the inspection. Thus, images can be acquired and processed to improve image quality for either human interpretation or machine perception and analysis. With image processing, it is possible to remove patterns or artifacts induced by the testing equipment, or to seek particular features for enhancement or extraction. The use of imaging technologies facilitates quantitative analysis and objective interpretation of selected parameters, especially in repetitive tasks.</p>
dc.format.mimetype application/pdf
dc.identifier archive/
dc.identifier.articleid 1255
dc.identifier.contextkey 4922605
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/255
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 22:58:34 UTC 2022
dc.subject.disciplines Electrical and Computer Engineering
dc.subject.disciplines Electrical and Electronics
dc.subject.keywords CNDE
dc.subject.keywords Nondestructive Evaluation
dc.title Application of the X-ray measurement model to image processing of X-ray radiographs
dc.type article
dc.type.genre thesis
dspace.entity.type Publication
relation.isOrgUnitOfPublication a75a044c-d11e-44cd-af4f-dab1d83339ff thesis Master of Science
Original bundle
Now showing 1 - 1 of 1
3.28 MB
Adobe Portable Document Format