Robust prediction for quality of industrial processes
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سال
: 2014شناسه الکترونیک: 10.1109/ICPR.2014.166
کلیدواژه(گان): computer vision,image denoising,object detection,Harris response,SNR,computer vision tasks,corner detection,image denoising procedure,intensity centroid,keypoint detectors,local characteristics,modified SUSAN approach,noise levels,real-world applications,signal-to-noise ratio,Detectors,Estimation,Feature extraction,Noise level,Noise measurement,Signal to noise ratio,corner detector,feature detection,noisy image,signal-to-noise ratio
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Robust prediction for quality of industrial processes
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| contributor author | Changxin Liu | |
| contributor author | Jinliang Ding | |
| contributor author | Tianyou Chai | |
| date accessioned | 2020-03-12T21:17:12Z | |
| date available | 2020-03-12T21:17:12Z | |
| date issued | 2014 | |
| identifier other | 6932826.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1043532?locale-attribute=fa | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Robust prediction for quality of industrial processes | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8171589 | |
| subject keywords | computer vision | |
| subject keywords | image denoising | |
| subject keywords | object detection | |
| subject keywords | Harris response | |
| subject keywords | SNR | |
| subject keywords | computer vision tasks | |
| subject keywords | corner detection | |
| subject keywords | image denoising procedure | |
| subject keywords | intensity centroid | |
| subject keywords | keypoint detectors | |
| subject keywords | local characteristics | |
| subject keywords | modified SUSAN approach | |
| subject keywords | noise levels | |
| subject keywords | real-world applications | |
| subject keywords | signal-to-noise ratio | |
| subject keywords | Detectors | |
| subject keywords | Estimation | |
| subject keywords | Feature extraction | |
| subject keywords | Noise level | |
| subject keywords | Noise measurement | |
| subject keywords | Signal to noise ratio | |
| subject keywords | corner detector | |
| subject keywords | feature detection | |
| subject keywords | noisy image | |
| subject keywords | signal-to-noise ratio | |
| identifier doi | 10.1109/ICPR.2014.166 | |
| journal title | nformation and Automation (ICIA), 2014 IEEE International Conference on | |
| filesize | 468853 | |
| citations | 0 |