| 000 | 01789naaaa2200349uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/49891 | ||
| 005 | 20220219214849.0 | ||
| 020 | _aKSP/1000041878 | ||
| 020 | _a9783731502395 | ||
| 024 | 7 |
_a10.5445/KSP/1000041878 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 100 | 1 |
_aWang, Limeng _4auth |
|
| 245 | 1 | 0 | _aImage Analysis and Evaluation of Cylinder Bore Surfaces in Micrographs |
| 260 |
_bKIT Scientific Publishing _c2013 |
||
| 300 | _a1 electronic resource (II, 115 p. p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aThis work presents two image-based inspection approaches for the quality evaluation of cylinder bore surfaces. In the first algorithm, metal folds on plateau-honed surfaces are inspected with scanning electron microscopy. An edge-aware structure tensor is proposed for feature extraction and localization of surface defects. The second algorithm uses a morphgraphical method for detecting graphite grains in optical micrographs. Based on the inspection results, quality parameters are proposed. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by-sa/4.0/ _2cc _4https://creativecommons.org/licenses/by-sa/4.0/ |
||
| 546 | _aEnglish | ||
| 653 | _aimage processing | ||
| 653 | _aBildverarbeitung | ||
| 653 | _aKantendetektion | ||
| 653 | _aMikrographhoning | ||
| 653 | _amicrograph | ||
| 653 | _aautomated vision inspection | ||
| 653 | _aHonung | ||
| 653 | _aedge detection | ||
| 653 | _aAutomatische Sichtprüfung | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://www.ksp.kit.edu/9783731502395 _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/49891 _70 _zDOAB: description of the publication |
| 999 |
_c45957 _d45957 |
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