E.i. Dupont De Nemours and Company

The Chemours Company Tt, LLC

Barry Rubin

Robert Vincent Canning, Jr

Michael J Merrill

James Edmond Van Trump

Henry Kobsa

Thomas W Simpson, Iii

Douglas Ray Stilwell

Stephen Marshall Shearer

Warren Francis Knoff

Akhileswar G Vaidyanathan

Peter A Jansson

Mark E Lewittes

Robert William Johnson

Theresa Ann Weston

Robert V Canning

David L Filkin

Scott Richard Mehr

Michael H Evans

Richard Walker Browne

Walter P Warren

Daniel K Owens

Thomas William Iii Simpson

An automated computer-controlled method and apparatus for measuring the quality or fineness of a pigment dispersion sample, comprising placing the pigment dispersion at the deep end of the tapered path of a Hegman gage block, placing the Hegman gage block in a holder in a motorized drawdown device that draws the scraper along the length of the tapered path at an angle and to at a contact pressure and at a controlled rate, thereby creating a tapered film sample of paint whose thickness tapers from a maximum thickness of 100 micrometers to a minimum thickness of zero. An illuminator assembly illuminates the sample with a substantially collimated light source at an intensity level and the light reflected from the sample is collected by a lens onto a photodetector array in a digital camera. After a time interval the camera acquires an image of the sample. The image is digitized and stored in a memory in the computer and then a portion of the image within a region of interest corresponding to the sample in the tapered path is analyzed to detect and count pigment agglomerates that protrude above the surface of the sample.

Method and apparatus for quantifying pigment dispersion quality by paint drawdown

An image analysis method to quantify visual showthrough of printed images on the reverse face of planar objects, such as paper. An illumination level is set using a white reference object. A white reference image is stored in a computer memory. An image of a planar object having a printed image on the reverse face is stored in a computer memory. A pixel by pixel ratio of the two images is calculated and a mean value of the ratios is calculated to characterize the visual showthrough. The measurements are substantially independent of both the illumination level and image shading.

Method and apparatus for quantifying visual showthrough of printed images on the reverse of planar objects

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

An iridescent effect is achieved in satin weave filling-faced fabric using sheath-core filaments wherein the core is dyed to a color that is different from that of the sheath.

Iridescent fabrics

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

A method of determining luster characteristics of fiber filaments utilizing a mathematical model of filament cross sectional shape and simulated impinging light to determine light distribution after interaction with the fiber and thereby determine luster properties. The method also includes a method for deriving individual filament cross sectional shapes of fibers in a bundle of touching filaments and for deriving therefrom other fiber properties and controlling the manufacturing parameters affecting such properties as well as luster properties.

Method for determining and controlling fiber luster properties

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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Glen Mills, PA, United States of America

Barry Rubin