Boots – shoes – and leggings
Patent
1992-03-27
1994-06-28
Harvey, Jack B.
Boots, shoes, and leggings
428 89, G06F 1520
Patent
active
053253019
ABSTRACT:
The present invention relates broadly to a method of image analysis for analyzing the texture of a surface, and to a saxony-type carpet having a tightly tailored surface texture characterized by this method. The method employs a model based on a second order co-occurrence matrix model which calculates a set of textural parameters for image classification. This co-occurrence matrix model examines the statistics of the spatial relationship between gray levels in a homogeneously textured image with calculated textural features which represent measures such as homogeneity and contrast. The method of the present invention uses this model to construct a set of normalized textural parameters from the textural parameters and calculates a value for the normalized textural parameters from this set, where the normalized textural parameters are related to the physical properties of the surface, such as pile lay of a carpet. The method compares the value for each of the normalized textural parameters of an unknown sample to the value for each of the corresponding normalized textural parameters for a known, or goal, sample. In one embodiment, the method compares an unknown sample of a saxony-type carpet to a goal sample of a saxony-type carpet having a tightly tailored surface texture to determine whether the unknown sample is such a carpet.
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Sobus, Pourdeyhimi, Gerde and Ulcay, "Assessing Changes in Texture Periodicity Due to Appearance Loss in Carpets: Grey Level Co-Occurrence Analysis," Textile Research Journal, vol. 61, No. 10, Oct. 1991, pp. 557-567.
Knoff Warren F.
Merrill Michael J.
Rubin Barry
Vaidyanathan Akhileswar G.
Van Trump James E.
E. I. Du Pont de Nemours and Company
Harvey Jack B.
Obee Jane E.
Peeso Thomas
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