On testing image processing applications with statistical methods
dc.contributor.author | Mayer, Johannes | |
dc.contributor.editor | Liggesmeyer, Peter | |
dc.contributor.editor | Pohl, Klaus | |
dc.contributor.editor | Goedicke, Michael | |
dc.date.accessioned | 2019-10-11T08:47:59Z | |
dc.date.available | 2019-10-11T08:47:59Z | |
dc.date.issued | 2005 | |
dc.description.abstract | Testing image processing applications is very ressource consuming. Many complex images have to be generated as test inputs and the expected resulting outputs have to be determined to complete the test cases. The present paper deals with this challenge in testing implementations of image operations, namely dilation. It applies random testing using models from stochastic geometry for random input generation. The Statistical Oracle, a modification of the well-known Heuristic resp. Parametric Oracle, is used to compare the results. Therefore, reliability predictions are also possible. | en |
dc.identifier.isbn | 3-88579-393-8 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/28335 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | Software Engineering 2005 | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-64 | |
dc.title | On testing image processing applications with statistical methods | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 78 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 69 | |
gi.conference.date | 8.-11.03.2005 | |
gi.conference.location | Essen | |
gi.conference.sessiontitle | Regular Research Papers |
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