Matches in SemOpenAlex for { <https://semopenalex.org/work/W2334384089> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2334384089 abstract "In the context of leaf roughness study for precision spray- ing applications, this article deals with its characterisation by computer vision techniques. Texture analysis is a pri- mordial step for applications based on image analysis such as medical or agronomical imaging. The aim is to classify textures after extraction of discriminating features. How- ever, this problem remains complex in the case of natural leaves because of changes in lighting, scaling or orienta- tion. There we consider a family of invariants from the frequency domain called Generalized Fourier Descriptors whose dimensionality is proportional to the spatial resolu- tion of the images. These features used with a Support Vec- tor Machines classifier lead to good results in terms of clas- sification error rate when the dimensionality is small but it gives more errors when the dimensionality increases; we use there different kinds of dimensionality reduction tech- niques (linear or non-linear) whose aim is to keep most in- formation in a vector of small dimensionality. It implies losses of information even if small. This is not the only source of losses, another one is related to the noise present in the images due to acquisition conditions and sensor sen- sitivity. We propose here to demonstrate the robustness of our method of classification despite these losses of infor- mation." @default.
- W2334384089 created "2016-06-24" @default.
- W2334384089 creator A5021649700 @default.
- W2334384089 creator A5022771330 @default.
- W2334384089 creator A5035149234 @default.
- W2334384089 creator A5083793880 @default.
- W2334384089 creator A5085727515 @default.
- W2334384089 date "2012-01-01" @default.
- W2334384089 modified "2023-10-18" @default.
- W2334384089 title "Noise Robustness of a Texture Classification Protocol for Natural Leaf Roughness Characterisation" @default.
- W2334384089 cites W1556593295 @default.
- W2334384089 cites W1570448133 @default.
- W2334384089 cites W1969693901 @default.
- W2334384089 cites W1973337733 @default.
- W2334384089 cites W1985617098 @default.
- W2334384089 cites W1997450924 @default.
- W2334384089 cites W2001141328 @default.
- W2334384089 cites W2035718814 @default.
- W2334384089 cites W2068963227 @default.
- W2334384089 cites W2093560546 @default.
- W2334384089 cites W2098057602 @default.
- W2334384089 cites W2129795301 @default.
- W2334384089 cites W2140089606 @default.
- W2334384089 cites W2148694408 @default.
- W2334384089 cites W2799061466 @default.
- W2334384089 cites W2911956715 @default.
- W2334384089 doi "https://doi.org/10.2316/p.2012.778-051" @default.
- W2334384089 hasPublicationYear "2012" @default.
- W2334384089 type Work @default.
- W2334384089 sameAs 2334384089 @default.
- W2334384089 citedByCount "0" @default.
- W2334384089 crossrefType "proceedings-article" @default.
- W2334384089 hasAuthorship W2334384089A5021649700 @default.
- W2334384089 hasAuthorship W2334384089A5022771330 @default.
- W2334384089 hasAuthorship W2334384089A5035149234 @default.
- W2334384089 hasAuthorship W2334384089A5083793880 @default.
- W2334384089 hasAuthorship W2334384089A5085727515 @default.
- W2334384089 hasConcept C104317684 @default.
- W2334384089 hasConcept C107365816 @default.
- W2334384089 hasConcept C115961682 @default.
- W2334384089 hasConcept C153180895 @default.
- W2334384089 hasConcept C154945302 @default.
- W2334384089 hasConcept C159985019 @default.
- W2334384089 hasConcept C185592680 @default.
- W2334384089 hasConcept C192562407 @default.
- W2334384089 hasConcept C41008148 @default.
- W2334384089 hasConcept C55493867 @default.
- W2334384089 hasConcept C63479239 @default.
- W2334384089 hasConcept C71039073 @default.
- W2334384089 hasConcept C99498987 @default.
- W2334384089 hasConceptScore W2334384089C104317684 @default.
- W2334384089 hasConceptScore W2334384089C107365816 @default.
- W2334384089 hasConceptScore W2334384089C115961682 @default.
- W2334384089 hasConceptScore W2334384089C153180895 @default.
- W2334384089 hasConceptScore W2334384089C154945302 @default.
- W2334384089 hasConceptScore W2334384089C159985019 @default.
- W2334384089 hasConceptScore W2334384089C185592680 @default.
- W2334384089 hasConceptScore W2334384089C192562407 @default.
- W2334384089 hasConceptScore W2334384089C41008148 @default.
- W2334384089 hasConceptScore W2334384089C55493867 @default.
- W2334384089 hasConceptScore W2334384089C63479239 @default.
- W2334384089 hasConceptScore W2334384089C71039073 @default.
- W2334384089 hasConceptScore W2334384089C99498987 @default.
- W2334384089 hasLocation W23343840891 @default.
- W2334384089 hasLocation W23343840892 @default.
- W2334384089 hasLocation W23343840893 @default.
- W2334384089 hasOpenAccess W2334384089 @default.
- W2334384089 hasPrimaryLocation W23343840891 @default.
- W2334384089 hasRelatedWork W2033914206 @default.
- W2334384089 hasRelatedWork W2042327336 @default.
- W2334384089 hasRelatedWork W2046077695 @default.
- W2334384089 hasRelatedWork W2146076056 @default.
- W2334384089 hasRelatedWork W2163831990 @default.
- W2334384089 hasRelatedWork W2378160586 @default.
- W2334384089 hasRelatedWork W2586463741 @default.
- W2334384089 hasRelatedWork W2996038082 @default.
- W2334384089 hasRelatedWork W3003836766 @default.
- W2334384089 hasRelatedWork W3047965787 @default.
- W2334384089 isParatext "false" @default.
- W2334384089 isRetracted "false" @default.
- W2334384089 magId "2334384089" @default.
- W2334384089 workType "article" @default.