Analysis of the surface roughness of weft knitted fabrics using image processing.

dc.contributor.authorAurien, Pauline
dc.date.accessioned2022-05-12T08:53:20Z
dc.date.available2022-05-12T08:53:20Z
dc.date.issued2016-05
dc.descriptionDissertationen_US
dc.description.abstractThe main objective of the study was to design an off-line system that analyses the surface roughness of weft knitted fabric using Image processing. The results showed a good correlation between fabric roughness values measured by the two different methods. (Kawabata and image processing). Surface roughness is an important factor during touching and handling of fabrics. The roughness of fabrics is important for garments which touch the human skin in a way that it influences the handle of fabric and plays an important role in end-use of fabrics, Fabric hand refers to the total sensation, experienced when a fabric is touched or manipulated in the fingers.en_US
dc.description.sponsorshipDr. Nibikora Ildephonse, Ms. Tusiimire Yvonne, Busitema University.en_US
dc.identifier.citationAurien, Pauline. (2016). Analysis of the surface roughness of weft knitted fabrics using image processing. Busitema University. Unpublished dissertation.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12283/1092
dc.language.isoenen_US
dc.publisherBusitema University.en_US
dc.subjectSurface roughnessen_US
dc.subjectWeft knitted fabricsen_US
dc.subjectImage processingen_US
dc.subjectFabricsen_US
dc.subjectHuman skinen_US
dc.titleAnalysis of the surface roughness of weft knitted fabrics using image processing.en_US
dc.typeThesisen_US

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