94 results about "Tagged Image File Format" patented technology

A software-based electronic data discovery tool which accesses multiple electronic archives; copies files and their meta-data into a common repository; vertically de-duplicates and tags the files; horizontally de-duplicates and tags the files; filters and tags the files against a one or more sets of predetermined compliance and privileged criteria identified by one or more parties associated with a specific electronic data discovery procedure; profiles and tags select results; and produces a variety of reports and excerpts. Production is at least one of printing on paper, transferring to magnetic media, or other processes. Files that are selected for profiling and production are then rendered in TIFF or another related format and stored in a common file. All files are identified with a digital “finger print” and complete chain-of-custody information.

The invention relates to a method for automatic recognition and stage compression of medical image regions of interest based on an artificial neural network. Medical image files in a digital diagnostic system are generally larger, and due to the limitation by factors of bandwidth and the like, the transmission speed is low, the effect is not good, and the diagnosis quality is influenced. By the method, medical digital images are subjected to noise elimination, the tissue outline of a human body is recognized, tissue images are subjected to multiple times of overlay operation, image features of the regions of interest are strengthened, feature values are extracted, classification is performed by using an artificial neural network method, the regions of interest and corresponding levels are determined, and tagged image file format (TIFF) images are generated in different compression modes according to different levels of the regions of interest and non-regions of interest. By the method, the medical image files are greatly lessened, the transmission speed is increased, and effective necessary information used for diagnosis and treatment in the images is kept, so the method facilitates the reading of doctors, and can be applied to the digital diagnostic system and a remote medical system, and improve the diagnosis and treatment efficiency and effect.

The apparatus for detecting the presence of a particular gas within a mixture of gases comprises first and second emitter means for emitting measurement and reference electromagnetic radiation beams respectively, which beams are activated in alternation, a measurement cell, a filter cell, first and second detector means for detecting electromagnetic radiation beams, a beam splitter, and acquisition and processing means for synchronously acquiring and processing the four signals <math-cwu id="MATH-US-00001"> <number>1</number> $U_S^1,U_S^2,U_R^1,U_R^2$ <mathematica-file id="MATHEMATICA-00001" file="US20020050567A1-20020502-M00001.NB"/> <image id="EMI-M00001" wi="216.027" he="11.02815" file="US20020050567A1-20020502-M00001.TIF" imf="TIFF" ti="MF"/> </math-cwu> delivered by the first and second detector means in succession when the first and second emitter means are respectively activated so as to determine the absolute concentration of the gas to be detected on the basis of the ratio <math-cwu id="MATH-US-00002"> <number>2</number> $R=\left(U_S^{1}x{U}_R^2\right)/\left(U_S^{2}x{U}_R^1\right)$ <mathematica-file id="MATHEMATICA-00002" file="US20020050567A1-20020502-M00002.NB"/> <image id="EMI-M00002" wi="216.027" he="11.02815" file="US20020050567A1-20020502-M00002.TIF" imf="TIFF" ti="MF"/> </math-cwu> between the four signals, in which <math-cwu id="MATH-US-00003"> <number>3</number> $U_S^1\mathrm{and}{U}_S^2$ <mathematica-file id="MATHEMATICA-00003" file="US20020050567A1-20020502-M00003.NB"/> <image id="EMI-M00003" wi="216.027" he="11.02815" file="US20020050567A1-20020502-M00003.TIF" imf="TIFF" ti="MF"/> </math-cwu> respectively represent the signals delivered by the first and second detector means when the first emitter means is activated, and <math-cwu id="MATH-US-00004"> <number>4</number> $U_R^1\mathrm{and}{U}_R^2$ <mathematica-file id="MATHEMATICA-00004" file="US20020050567A1-20020502-M00004.NB"/> <image id="EMI-M00004" wi="216.027" he="11.02815" file="US20020050567A1-20020502-M00004.TIF" imf="TIFF" ti="MF"/> </math-cwu> respectively represent the signals delivered by the first and second detector means when the second emitter means is activated.

The present invention provides a system and method of providing personal and medical information in a portable manner. The present invention also allows the user to easily update and modify the information contained in the device. Briefly, a storage element, preferably having a standard computer interface, most preferably a USB port, is disclosed. Sets of data structures that allow the user to incorporate information about their medical history and profile are provided on the storage element. The data structures also allow the user to enter images, such as jpeg, tiff or bitmap files, to further augment their history. These data structure also allow the health care provider to quickly and easily access the relevant information in a timely and organized manner. The storage element also contains the required software application needed to view the data structures.

A system and method is provided for locating searched terms in an image file received from a search engine. The method comprises: submitting a search term to a search engine having an indexed file database of image files, for example, a text search term such as a keyword, ASCII symbols, word patterns, or data patterns; receiving an indexed file cross-referencing image indexed files to the search term, for example, the image files may be a tagged image file format (TIFF) or portable document (PDF) format document; performing optical character recognition (OCR) on the selected image file; locating coordinates in the image file corresponding to the search term; and, automatically displaying the image file at the coordinates. Typically, the location process causes the search term to be displayed, or even highlighted.

The present invention provides methods of improving GNSS receivers' satellite signal acquisition and TIFF performances by taking advantage of SBAS signals. Due to a SBAS satellite's geostationary position and typically strong signal, the SBAS satellite signal can be acquired more quickly than a GPS satellite signal. Once a SBAS satellite signal is acquired the Doppler frequency search uncertainty may be reduced for remaining GNSS satellites which are to be acquired. Furthermore, a satellite search list may be optimized to search for satellites close to the line of sight (LOS) of the SBAS satellite for which a signal has been acquired, in receiver “warm” and “hot” start modes. Moreover, since a SBAS signal sub-frame is only one second long, which is shorter than six seconds for a GPS signal sub-frame, synchronization of the SBAS signal sub-frame may be achieved faster than for GPS signals. With aided time information, a receiver may compute the absolute time of week (TOW) from a sub-frame synchronized SBAS signal. Therefore, without necessarily waiting for TOW to be decoded from a GPS signal and with TOW extracted from a SBAS signal, a receiver can achieve better TTFF performance.

The invention enables multimodal cognitive communications, collaboration, consultation and instruction between and among heterogeneous networked teams of persons, machines, devices, neural networks, robots and algorithms during various stages of medical disease management, including detection, diagnosis, prognosis, treatment, measurement, monitoring and reporting. The invention enables both synchronous and asynchronous multiparty collaboration with multichannel, multiplexed streaming imagery data, including interactive curation, multisensory annotation and metadata tagging, as well as multi-formatted encapsulation, saving and sharing of collaborated imagery data as packetized augmented intelligence. The invention acquires both live stream and archived medical modality imagery from network-connected medical devices, cameras, signals and sensors, as well as multiomic data [phenotypic, genomic, metabolomic, pathomic, radiomic, radiopathomic and radiogenomic] maps and clinical data sets from structured reports and clinical documents, including biometric maps and movies, hapmaps, heat maps and data stream visualizations. The invention also acquires both medical and non-medical streaming imagery data from image data repositories, documents and structured reports, workstations and mobile devices, as well as from wearable computing, signals and sensors. The invention enables networked teams to interactively communicate, concurrently collaborate and bi-directionally exchange multichannel multiplexed imagery data streams, singly or together, in real time or asynchronously, generally by curating, annotating and tagging imagery information objects. The invention encapsulates and saves collaborated imagery data, together with multisensory annotations and metadata tags, in standard file formats as packetized augmented intelligence. The invention enables recursive cognitive enrichment of clinical cognitive vismemes, and saves packetized imagery information objects, multisensory annotations and metadata tags in native file formats [PDF, MPEG, JPEG, XML, XMPP, QR,TIFF, RDF, RDF/XML, SVG and DAE] as well as in formats compliant with standards for digital communications in medicine [DICOM]. The invention enables live stream multicasting of multimodal cognitive instruction and collaborative knowledge exchange with multisensory [visual, auditory, haptic] annotation of streaming imagery data, as well as secure, encrypted transmission of streaming augmented intelligence across file sharing data networks for informatics-enabled learning, specialist skills acquisition and accelerated knowledge exchange.

An organic light-emitting panel includes a data line, a scan line, a voltage applying line, a switching device, an organic light emitting device and a driving device. The voltage applying line satisfies a condition expressed as <math-cwu id="MATH-US-00001"> <NUMBER>1</NUMBER> $\frac{¡\hat{a}V\left(\max \right)}{n}<A\frac{\frac{¡\hat{a}\mathrm{Vdata}}{\mathrm{GS}}}{n}\left[\mathrm{Volt}\right],$ <mathematica-file id="MATHEMATICA-00001" file="US20040004444A1-20040108-M00001.NB"/> <image id="EMI-M00001" wi="216.027" he="25.9119" file="US20040004444A1-20040108-M00001.TIF" imf="TIFF" ti="MF"/> </MATH-CWU> wherein DeltaVmax is a maximum voltage drop, 'n' is a number of pixels those are electrically connected to the voltage applying line, 'A' is a correction coefficient that is in a range from about 1 to about 2, DeltaVdata is a voltage difference between the gray scales, and GS is a number of gray scale. According to the organic light-emitting panel, the voltage drop of the voltage applying line is reduced.

An electronic image capture device for capturing a color image, comprising an image sensor comprised of discrete light sensitive picture elements overlaid with a color filter array (CFA) pattern to produce sensor color image data corresponding to the CFA pattern; an A/D converter for producing uninterpolated digital CFA image data from the sensor color image data; a processor for processing the uninterpolated digital CFA image data to produce interpolated image data and for forming a TIFF image file containing both the uninterpolated CFA image data and the interpolated image data; and a memory for storing the TIFF image file.

A digital still camera produces size-reduced image data of a JPEG file, which is converted into printable image data of a TIFF file according to a converting parameter. In the digital still camera, raw image data (CCD-RAW) is produced, corresponds to the JPEG data, and has an unreduced format. Images of the JPEG data are displayed in a playback manner. A customer order of an image among the displayed images to be printed is processed. JPEG data associated with the image of the customer order is adjusted according to a standard adjusting parameter. The standard adjusting parameter is modified into a first adjusting parameter. Raw image data associated with the image of the customer order is converted into TIFF data by image conversion according to the first adjusting parameter and/or a standard converting parameter being preset.

A method for manufacturing a MOSFET equipped with a silicide layer over shallow source and drain junctions without leakage generation is provided. By restricting the temperature of manufacturing steps after the silicide formation below a critical temperature Tc, which is defined below as a function of a junction depth Dj from 20 nm to 60 nm, leakage generation is practically suppressed. Tc=axDj+b, <math-cwu id="MATH-US-00001"> <NUMBER>1</NUMBER> $\begin{array}{c}\mathrm{where}\\ a=6.11\left(20<\mathrm{Dj}\le 26\right)\\ =1.60\left(26<\mathrm{Dj}\le 60\right),\\ b=290.74\left(20<\mathrm{Dj}\le 26\right)\\ =408\left(26<\mathrm{Dj}\le 60\right),\end{array}$ <mathematica-file id="MATHEMATICA-00001" file="US20040256645A1-20041223-M00001.NB"/> <image id="EMI-M00001" wi="216.027" he="54.00675" file="US20040256645A1-20041223-M00001.TIF" imf="TIFF" ti="MF"/> </MATH-CWU> Dj is a junction depth (nm) measured from the lower surface of the silicide layer, and Tc is a critical temperature (° C.) during a heat treatment.

An image processor (14) supporting very high-speed printing. The image processor (14) preferably has two separate connections to a source (12) of the image being printed, e.g., a printer control bus (34) and an image data bus (36). The image processor (14) preferably accepts images from the image source (12) in commonly known graphics file formats, such as the well-known 24-bit, uncompressed TIFF file format. The image processor (14) is a multiprocessor implementation. Preferably, one processor (30) coordinates or “orchestrates” control of the printing system and handshaking with the image source via the printer control bus (34) and the other processor (32) functions as a raster image processor (RIP) processor (52) and accepts and stores images into the printer environment from the image source (12) via the image data bus (36). The RIP processor (52) preferably performs color separation on the image into color planes and transmits each color plane to a separate processing path from that point on in the imaging chain. Each color plane preferably has a separate imaging path out from a shared image data bus (62). This separate path for each color plane preferably includes a band manager (54), a print engine or nozzle controller (60), and a print head (58).

A distributed capture system is disclosed which enables digital content to be captured in various formats and interfaced with a plurality ECM) platforms which enables the distributed capture system to be seamlessly integrated with a customer's legacy ECM system. The system is configured to receive various financial records that are normally created at a financial institution, such as loan applications and customer signature cards, in various formats, such as Microsoft Word, PDF, and Printer Control Language (PCL). The financial records are directed to a virtual printer and converted to a TIFF format. The print stream associated with the text embedded in the TIFF image of the financial record is captured and compared with document classification template. The document classification template allows the document to be automatically classified and indexed. Documents are then sent to the ECM interface. The ECM interface allows financial records that are normally created at the financial institution to be converted to electronic form and stored in the financial institution's legacy ECM. By eliminating the need to purchase a new ECM, the need to convert existing data to the format of the legacy ECM is obviated.

The present invention discloses a method, a computer system, a program product which provide a useful interface to rank the documents in a very large database using neural network(s). The method comprising the steps of: providing a document matrix from said documents, said matrix including numerical elements derived from said attribute data; providing the covariance matrix from said document matrix; computing the eigenvectors of said covariance matrix using neural network algorithm(s); computing inner products of said eigenvectors to create sum S <math-cwu id="MATH-US-00001"> <number>1</number> $S=\sum _{i<j}it{e}_i·e_j$ <mathematica-file id="MATHEMATICA-00001" file="US20030023570A1-20030130-M00001.NB"/> <image id="EMI-M00001" wi="216.027" he="21.12075" file="US20030023570A1-20030130-M00001.TIF" imf="TIFF" ti="MF"/> </math-cwu> and examining convergence of said sum S such that difference between the sums becomes not more than a predetermined threshold to determine a final set of said eigenvectors; providing said set of eigenvectors to the singular value decom position of said covariance matrix.

The invention discloses an ink presetting method based on the JDF digitalized flow; firstly the dot area coverage of all the ink areas is extracted based on 1-bit tiff image layout files and printer characteristic files after being processed through RIP grating produced after imposition; ink transfer curves are obtained through treating the collected experimental sampling data pairs; then, the corresponding ink presetting data of all ink areas are produced; the produced ink presetting data of all ink areas are stored as JDF files to provide for printers with CIP4 ink information interfaces or stored as Txt files to provide for printers without CIP4 ink information interfaces for pre-adjusting printer ink bonds, thus realizing ink presetting. With the method of the invention, the presetting of ink in all ink areas of the printers can be quickly realized with good ink presetting accuracy, shortened starting time, reduced starting pre-printing waste and improved quality of printed products.

A process to fade between two frames of a dual frame digital TIFF image of an organ taken during an examination with a colposcope to use in computer-aided-diagnosis (CAD) systems.

The invention belongs to the technical field of digitized fine grass cultivation and forest industry by combining vegetational community coverage calculation method and digital imaging as well as computer technology, which is suitable for the grassland vegetation having the height being less than 1 m and the coverage within the range of 5-99 percent; the height of forest cover is more than 5 m, and the shade density is more than 0.5; by combining the advanced digital imaging and computer image processing technology, a color distinguishing decision tree with three primary colors which are red, green and blue is constructed by utilizing the classification means of the decision tree from top to bottom, and taking digital photo software shot in the field as input item according to the color attribute difference of the grass and forest vegetations, and functional modules of digital photo software leading-in, ground object distinguishing, coverage calculating, divided result displaying and contrasting and the like are integrated on a Matlab7.0 platform to set up a visual interface and visual figures which are user interface friendly as well as convenient and fast in human-computer interaction, then the numerical value is calculated. The method can treat the conventional picture formats such as jpg, tif, tiff and bmp in batch to obtain the coverage data of grass and forest vegetations and has the observation accuracy reaching over 95 percent, and can be applied to the related fields such as vegetation dynamic monitoring, resources surveys, global changing vegetation monitoring, etc.

An apparatus, method, signal and computer program product is provided to generate an image file that can correctly reproduce image data at a predetermined output device. The image file includes an image data storage area that stores image data, and a control information storage area stores output control information. The image data is stored in JPEG format for example, and output control information is stored in TIFF format. The output device control information is information set so as to be able to obtain an optimal image output results according to a paired-combination of the input device and output device, taking into consideration their respective image processing characteristics.

A distributed capture system is disclosed which enables digital content to be captured in various formats and interfaced with a plurality ECM) platforms which enables the distributed capture system to be seamlessly integrated with a customer's legacy ECM system. The system is configured to receive various financial records that are normally created at a financial institution, such as loan applications and customer signature cards, in various formats, such as Microsoft Word, PDF, and Printer Control Language (PCL). The financial records are directed to a virtual printer and converted to a TIFF format. The print stream associated with the text embedded in the TIFF image of the financial record is captured and compared with document classification template. The document classification template allows the document to be automatically classified and indexed. Documents are then sent to the ECM interface. The ECM interface allows financial records that are normally created at the financial institution to be converted to electronic form and stored in the financial institution's legacy ECM. By eliminating the need to purchase a new ECM, the need to convert existing data to the format of the legacy ECM is obviated.

The present invention provides apparatus and techniques for performing prolate shaped corneal reshaping using an ellipsoid corneal modeler. In accordance with the principles of the present invention, an ellipsoid corneal modeler is implemented with the well behaved conicoid, combined with a modeled surface which can be used for astigmatic treatments. An ellipsoid corneal modeler includes an ellipsoid fitter which utilizes two radii of curvature, asphericity (Q), and a surface rotation about the pupil center (roation of theta), yielding the equation: <math-cwu id="MATH-US-00001"> <number>1</number> $\begin{array}{cc}\frac{x^2}{R_x}+\frac{y^2}{R_y}+\frac{z^z}{\left(\frac{2R_x{R}_y}{\left(1+Q\right)R_x+R_y}\right)}=\frac{2R_x{R}_y}{\left(1+Q\right)R_x+R_y}& \left(5\right)\end{array}$ <mathematica-file id="MATHEMATICA-00001" file="US20020115988A1-20020822-M00001.NB"/> <image id="EMI-M00001" wi="216.027" he="30.9582" file="US20020115988A1-20020822-M00001.TIF" imf="TIFF" ti="MF"/> </math-cwu> Moreover, a conversion is provided to convert between measurements obtained by a keratometer, and apical radii. In a further embodiment provided by the present invention, conversion is made possible between radii measurements obtained clinically (e.g., using a keratometer) and radii measurements at the apex, i.e., keratometric to apical radius conversion.

Image integrity in an archive can be verified using document characteristics. Embodiments of the invention provide a way to verify the integrity of a stored document image by determining document characteristics, which can also be embedded in the image file. Before allowing access to the image file by an application, the characteristics data from an image analysis can be compared to either or both of, characteristics information otherwise stored, or embedded characteristics data. The embedded data can optionally be encrypted. In example embodiments the data can include a result of an optical character recognition of contents of the document, a length of data describing the image, a percentage of a specified color of pixels in the image, or a checksum. Example embedding techniques can include those making use of a tagged image file format (TIFF) header, a steganographic watermark, or an image artifact.

A method of automatically creating separate images such as PDF or TIFF for selected segments of a scanned document. The user interface enables the user to select the segmenting function and then select the desired segments/pages. The machine automatically creates separate images for each selected segment and sends to a printer or e-mail address.

A system and method are provided for adaptively allocating random access memory (RAM) in an multifunctional peripheral (MFP) device with a plurality of components. The method comprises: supplying an interface; and, in response to interface prompts, selecting the allocation of RAM for MFP features or components. Typically, the MFP device includes fax, scanner, printer, and copier components, and the method further comprises selecting the allocation of RAM for MFP components selected from the group including fax, scanner, printer, or copier. The method further comprises: selecting the allocation of RAM for MFP features selected from the group including post script (PS) documents, printer control language (PCL) documents, tagged image file format (TIFF) documents, or portable document format (PDF) documents.

Supplying an interface includes supplying front panel graphical user interface (GUI) to present RAM allocation options, and selecting the allocation of RAM for MFP functions in response to interface prompts includes allocating portions of RAM in response to GUI prompts. Alternately, the MFP is connected to a computer workstation with a display. Then, supplying an interface includes receiving a request from a browser loaded on the computer workstation and, from an embedded web server in the MFP, supplying a GUI to the computer workstation display, presenting RAM allocation options.