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Robust prediction for quality of industrial processes

contributor authorChangxin Liu
contributor authorJinliang Ding
contributor authorTianyou Chai
date accessioned2020-03-12T21:17:12Z
date available2020-03-12T21:17:12Z
date issued2014
identifier other6932826.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1043532?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleRobust prediction for quality of industrial processes
typeConference Paper
contenttypeMetadata Only
identifier padid8171589
subject keywordscomputer vision
subject keywordsimage denoising
subject keywordsobject detection
subject keywordsHarris response
subject keywordsSNR
subject keywordscomputer vision tasks
subject keywordscorner detection
subject keywordsimage denoising procedure
subject keywordsintensity centroid
subject keywordskeypoint detectors
subject keywordslocal characteristics
subject keywordsmodified SUSAN approach
subject keywordsnoise levels
subject keywordsreal-world applications
subject keywordssignal-to-noise ratio
subject keywordsDetectors
subject keywordsEstimation
subject keywordsFeature extraction
subject keywordsNoise level
subject keywordsNoise measurement
subject keywordsSignal to noise ratio
subject keywordscorner detector
subject keywordsfeature detection
subject keywordsnoisy image
subject keywordssignal-to-noise ratio
identifier doi10.1109/ICPR.2014.166
journal titlenformation and Automation (ICIA), 2014 IEEE International Conference on
filesize468853
citations0


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