E.i. Dupont De Nemours and Company

Michael J Merrill

Akhileswar G Vaidyanathan

Barry Rubin

Warren Francis Knoff

Gregory Paul Weeks

James Edmond Van Trump

Robert Vincent Canning, Jr

Arun Prakash

Peter A Jansson

Mark E Lewittes

Thomas W Simpson, Iii

Theresa Ann Weston

Robert G Pembleton

John Taylor

Daniel K Owens

Mark Joseph Tribo

Joseph A Beni

An improved image analysis method to quantify uniformity of visual appearance of planar objects. The measurements are substantially independent of both the image shading and the overall lightness differences among the objects.

Method of quantifying visual uniformity of planar objects

A method of texturing fluoropolymer film and the textured product produced, which product retains the texture imparted after further processing, such as in thermoforming or molding processes.

Process of preparing textured fluoropolymer films

A method for determining the quality of dispersion of glass fibers in a thermoplastic resin preform layer compares the mean characteristic length of the glass fiber bundles in the preform layer to a predetermined value indicative of dispersion of the glass fibers. The thermoplastic resin preform layer characterized by this method comprises a plurality of individual glass fibers and some degree of undispersed glass fiber bundles intimately mixed with a plurality of discrete thermoplastic fibers. The glass fibers are introduced to the mixture having a length of about 1 cm. to about 8 cm. After mixing, some of the glass fiber bundles break up, and some residual glass fiber bundles remain. A preform layer which has acceptable dispersion has residual glass fiber bundles having a mean apparent length of less about 1.365 mm.

Method for determining quality of dispersion of glass fibers in a

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.

Method of analyzing the texture of a surface and a carpet characterized

This invention relates to a method and apparatus for determining the flatness or planarity of a surface and, specifically, to a method and apparatus for determining the flatness or planarity of a surface using a computerized optics technique.

Method and apparatus for measuring surface flatness

An automated system is used for the inspection of a transparent film which has been metallized by vaporizing a metal so that it impacts the film's surface at a preselected angle, wherein the metallized film sample is illuminated with a light source, and the transmitted light is passed through a microscope to a video camera, which produces a videoscan. The videoscan is digitized, stored in a computer memory, and processed pixel by pixel by the computer which calculates asperity height distribution from the number and lengths of metallizing shadows caused by asperities on the film surface. This method is especially useful for inspecting film to be used for recording devices, especially for video tapes, where accurate information on the asperity height distribution is required.

Method of film inspection with a microscopical image analyzer

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New Castle, DE, United States of America

Michael J Merrill