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

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dc.contributor.author Aurien, Pauline
dc.date.accessioned 2022-05-12T08:53:20Z
dc.date.available 2022-05-12T08:53:20Z
dc.date.issued 2016-05
dc.identifier.citation Aurien, Pauline. (2016). Analysis of the surface roughness of weft knitted fabrics using image processing. Busitema University. Unpublished dissertation. en_US
dc.identifier.uri http://hdl.handle.net/20.500.12283/1092
dc.description Dissertation en_US
dc.description.abstract The 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.sponsorship Dr. Nibikora Ildephonse, Ms. Tusiimire Yvonne, Busitema University. en_US
dc.language.iso en en_US
dc.publisher Busitema University. en_US
dc.subject Surface roughness en_US
dc.subject Weft knitted fabrics en_US
dc.subject Image processing en_US
dc.subject Fabrics en_US
dc.subject Human skin en_US
dc.title Analysis of the surface roughness of weft knitted fabrics using image processing. en_US
dc.type Thesis en_US


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