Image segmentation based on a Gaussian model applied to pilling evaluation in fabrics

Hector C. Abril; Maria Sagrario Millan Garcia-Verela; Yezid M. Torres Moreno; Rafael Fonolla Navarro

doi:10.1117/12.281290

19 August 1997 Image segmentation based on a Gaussian model applied to pilling evaluation in fabrics

Hector C. Abril, Maria Sagrario Millan Garcia-Verela, Yezid M. Torres Moreno, Rafael Fonolla Navarro

Proceedings Volume 3101, New Image Processing Techniques and Applications: Algorithms, Methods, and Components II; (1997) https://doi.org/10.1117/12.281290
Event: Lasers and Optics in Manufacturing III, 1997, Munich, Germany

Abstract

Wear and tear generate fluffiness and pills that remain in the web surface spoiling the appearance of a fabric. In quality control of textiles it is necessary to have an objective method to measure pilling that improves current methods based on visual estimations of the degree of pilling. In this work we optimize a method for piling evaluation based on image analysis that we proposed recently. The method combined operations in both the frequency and the spatial domains in order to better segment pills from the textured web background. We considered a logarithmic in base two relationship between the area of pilling and the degree of pilling based on the human perception mechanisms.

Citation Download Citation

Hector C. Abril, Maria Sagrario Millan Garcia-Verela, Yezid M. Torres Moreno, and Rafael Fonolla Navarro "Image segmentation based on a Gaussian model applied to pilling evaluation in fabrics", Proc. SPIE 3101, New Image Processing Techniques and Applications: Algorithms, Methods, and Components II, (19 August 1997); https://doi.org/10.1117/12.281290

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