Abstract:
Accurate edge detection requires eliminating pixels that have erroneously been classified as edges prior to image processing. Present systems and methods group recorded background-to-medium and medium-to-background transition points in sets and fit a regression line to each set. Error values are then calculated for the fitted lines, sets with error values that exceed a predetermined amount are excluded and the document edge is identified using the remaining lines. Accordingly, erroneously classified pixels are eliminated quickly enough to keep up with the scanning rate and the edges of a scanned document image can be detected in real-time.
Abstract:
A method for processing segmentation tags to generate a block level tag representative of a group of segmentation tags includes identifying a block of the segmentation tags; compiling a block statistic from a plurality of segmentation tags within the block; determining a most predominant segmentation tag and a second most predominant segmentation tag in the plurality of segmentation tags; and generating a block level tag for the block based on the most predominant segmentation tag, the second most predominant segmentation tag and the block statistic.
Abstract:
Detecting skew and determining skew angle using the front of a document by determining background-to-document transitions. Incoming scanlines are interval sampled in the fast scan direction every nth pixel. The samples are collected and organized into a two dimension array comprised of scanline based rows and interval based columns. The collected and organized samples are analyzed by intervals to determine a scanline (row) where a specified sampling condition exceeds predetermined threshold. The corresponding row-interval point forms a background-to-medium transition point of the edge of a document. When two or more background-to-medium transition points are found from different intervals the skew angle can be determined using linear regression.
Abstract:
A method for generating a background statistics that distinguishes between gray level information from document areas and non-document areas. The method includes determining a full page background statistics from selected pixels within a scanned area; determining a sub-region background statistics from selected pixels within a sub-region of the scanned area; determining if the sub-region background statistics corresponds to image data from a non-document area; determining if the full page background statistics is corrupted; and generating a validated full page background statistics if the full page background statistics is corrupted.
Abstract:
A first aspect of the of the present invention is a system and method for classifying an input document based a segmentation tag statistics. The method includes receiving first pass segmentation tags for a plurality of pixels within a block of image data; determining an image type for the block of image data using statistics compiled from the first pass segmentation tags; and generating rendering tags for pixels within the block of image data as function of second pass segmentation tags and the image type. Beneficially, the image type identified for the block of image data is used to optimize the rendering process.
Abstract:
A breathing mask is provided. The breathing mask is secured around the head of the wearer and includes a nose lifter disposed on the front face of the breathing mask. The breathing mask includes a hood, a pair of eye goggles, a mouth aperture, and a check valve disposed on the rear lace of the hood. The eye goggles are affixed to the hood with an elastic band attached in the rear of the hood. Moreover, the mouth aperture is disposed on the front face of the hood below the nose filter. The hood is secured to the head of the wearer by a zipper disposed on the rear face of the hood and an elastic band encircling a pair of side faces and a rear face of the hood. The elastic band encircling the hood provides an airtight seal to protect the wearer from airborne diseases and other hazards.
Abstract:
An impedance matching circuit is provided for use with a piezotransducer that includes a parasitic capacitor comprising: an inductor coupled in parallel with the parasitic capacitor; a peak and valley detection circuit configured to detect output voltage waveform peaks and valleys; a first switch circuit configured to bias flip the output voltage waveform at a selectable first time relative to a detected peak and at a selectable first time relative to a detected valley; a second switch circuit configured to couple the inductor to the energy storage circuit at a selectable second time following each output voltage bias flip; an energy monitoring circuit to provide an indication of energy flow from the inductor to the energy storage circuit following each output voltage bias flip; and a maximum power point tracking (MPPT) circuit configured to select the first time and the second time based at least in part upon the indicated energy flow.
Abstract:
Some embodiments are directed to a method of automatically modifying a scanned image of a page from an input document comprising a plurality of pages. First, scanned images of the plurality of pages are obtained. Next, a user selection for an output orientation of an output document and optionally value of N for an N-Up operation is received. Thereafter, input orientation of each scanned image is detected. Then, the scanned image is rotated, based on the detected input orientation, the output orientation and the value of ‘N’ if provided by the user. Next, the rotated scanned image content is resized so that it fits on a page. Finally, the output document is prepared that includes pages in the output orientation.
Abstract:
Provided are a support for affinity chromatography which has excellent alkali resistance, and a method for isolating immunoglobulin. A support for affinity chromatography, containing an immobilized protein ligand represented by the following formula (1): R—R2 (1) wherein R represents a polypeptide consisting of 4 to 30 amino acid residues that contains an amino acid sequence represented by ATK or ASK; and R2 represents a polypeptide consisting of 50 to 500 amino acid residues containing an immunoglobulin-binding domain consisting of an amino acid sequence represented by SEQ ID NO: 1 or SEQ ID NO: 2, the partial sequence thereof, or an amino acid sequence having 70% or more identity to these sequences; with the proviso that a terminus at which R2 binds to R is C-terminus or N-terminus of the immunoglobulin-binding domain.
Abstract translation:提供了具有优异的耐碱性的亲和层析的支持物和分离免疫球蛋白的方法。 含有由下式(1)表示的固定化蛋白质配体的亲和层析的载体:R-R2(1)其中R表示由4至30个氨基酸残基组成的多肽,其含有由ATK或ASK表示的氨基酸序列 ; 并且R 2表示由50-500个氨基酸残基组成的多肽,其含有由SEQ ID NO:1或SEQ ID NO:2所示的氨基酸序列组成的免疫球蛋白结合结构域,其部分序列或具有 这些序列具有70%以上的同一性; 条件是R 2与R结合的末端是免疫球蛋白结合结构域的C末端或N末端。
Abstract:
Disclosed is a processor-implemented method for processing image data of a document using an apparatus. The processor determines pixel classifications and counts for each classification, classifies the image, selects a billing tier for which to bill the image, determines counts of pixels for marking to output the image (e.g., in device dependent space), and then can adjust from the selected billing tier to a different billing tier based on the image classification (e.g., and/or using determined counts of pixels for each classification and determined counts of pixels for marking). Counts of pixels can be adjusted using an offset, or calculated using a combination of the determined counts (e.g., combining counts from both independent and dependent spaces). By adjusting the tier at which to bill data, more accurate billing can be implemented for documents with contone or grayscale image data, for example, with greater customer satisfaction.