Abstract: According to one aspect of the present disclosure, a filter assembly includes a filter housing including a housing inlet and a housing outlet, and a filtering section located downstream of the housing inlet and upstream of the housing outlet. The filtering section includes a first filtering portion, a second filtering portion, a wall longitudinally separating the first filtering portion and the second filtering portion, a filtering outlet, and a valve located in the filtering outlet. The valve includes a closed condition and an open condition, and wherein, in the valve closed condition the valve blocks flow from the second filtering portion to the housing outlet.

Abstract: According to one aspect of the present disclosure, a filter assembly includes a filter housing including a housing inlet and a housing outlet, and a filtering section located downstream of the housing inlet and upstream of the housing outlet. The filtering section includes a first filtering portion, a second filtering portion, a wall longitudinally separating the first filtering portion and the second filtering portion, a filtering outlet, and a valve located in the filtering outlet. The valve includes a closed condition and an open condition, and wherein, in the valve closed condition the valve blocks flow from the second filtering portion to the housing outlet.

Abstract: The present invention relates to a cosmetic or pharmaceutical formulation comprising a hyaluronate crosspolymer and one or more of (a) azelaic acid or an ester thereof; (b) one or more of black cumin seed oil, chaulmoogra oil, magnolia bark extract and manuka oil; and (c) resveratrol or a derivative thereof. Uses of the formulation for skin treatments, promoting collagen production and regulating cellular turnover are also described.

Abstract: This disclosure generally relates to identifying objects by comparing their histograms. In aspect, the histograms of different color resolutions are constructed for each image and each compared to a corresponding histogram of another image. The results of the comparisons are combined to obtain an indicator of the difference between the color contents of the images and can be used to determine whether the images match each other. In another aspect, the color space is divided unevenly for each histogram, with the portions of the color space corresponding to white or gray being more finely divided than the portions corresponding to more saturated colors.

Abstract: A computer controlled system, method, and corresponding computer data product, for utilizing a normalized gray scale pattern find within a machine vision system.

Abstract: A computer controlled system, method, and corresponding computer data product for determining a range of image decimation values for use in processing of images within a machine vision system. The system and method generates a high resolution reference image, generates a set of decimated reference images from the high resolution reference image, generates a set of interpolated reference images having a spatial image resolution identical to the high resolution reference image from the set of decimated images, cross-correlates the set of interpolated reference images with the high resolution reference image to generate a set of cross-correlation values, and selects a subset of the set of decimated reference images corresponding to interpolated references images that generated a cross correlation value greater than a predetermined threshold value.

Abstract: A system, method, and corresponding computer data product, generates a high resolution reference image, generates a set of rotated reference images from the high resolution reference image, cross-correlates the set of rotated reference images with the high resolution reference image to generate a set of cross-correlation values, and determines that the high resolution reference image is suitable for use in a normalized gray scale pattern find process when the difference between any two correlation values generated by the image cross correlation module is greater than a predetermined threshold value.

Abstract: A computer controlled system, method, and corresponding computer data product, for utilizing a normalized gray scale pattern find within a machine vision system.

Abstract: A system, method, and corresponding computer data product, generates a high resolution reference image, generates a set of rotated reference images from the high resolution reference image, cross-correlates the set of rotated reference images with the high resolution reference image to generate a set of cross-correlation values, and determines that the high resolution reference image is suitable for use in a normalized gray scale pattern find process when the difference between any two correlation values generated by the image cross correlation module is greater than a predetermined threshold value.

Abstract: A computer controlled system, method, and corresponding computer data product for determining a range of image decimation values for use in processing of images within a machine vision system. The system and method generates a high resolution reference image, generates a set of decimated reference images from the high resolution reference image, generates a set of interpolated reference images having a spatial image resolution identical to the high resolution reference image from the set of decimated images, cross-correlates the set of interpolated reference images with the high resolution reference image to generate a set of cross-correlation values, and selects a subset of the set of decimated reference images corresponding to interpolated references images that generated a cross correlation value greater than a predetermined threshold value.