Class / Patent application number | Description | Number of patent applications / Date published |
382202000 | Linear stroke analysis (e.g., limited to straight lines) | 19 |
20090052782 | Image processing device - An image processing device is structured such that an appropriate judgement of an image, at which blurring or disappearance or the like will occur, is possible. When pixels, which form a line image at which there is the possibility that blurring or disappearance will occur at the time of printing by using a printing plate, are extracted, a line image warning function gives notice by displaying a warning message on a monitor of a client terminal. Thereafter, image converting and print setting are carried out such that an extracted line image is clarified. In this way, when a proof is prepared, an image, at which there is the possibility that blurring or disappearance will occur on a printed matter obtained by using a printing plate, is clarified, and appropriate proofing is possible. | 02-26-2009 |
20090141985 | Detection of spam images - A method, system, and computer program product for analyzing image attachments to email messages and reliably determines whether the image includes spam, so that the message can be blocked. A method for processing email messages comprises processing an image included in or attached to an email message to determine whether the image includes features that indicate whether the image is spam and determining whether the image is spam based on the included features that indicate whether the image is spam. | 06-04-2009 |
20090252420 | RECOGNITION SYSTEM, RECOGNITION METHOD, AND RECOGNITION PROGRAM - A recognition system of this invention has feature point detection means ( | 10-08-2009 |
20090316998 | OUTLINING METHOD FOR PROPERLY REPRESENTING CURVED LINE AND STRAIGHT LINE, AND IMAGE COMPRESSION METHOD USING THE SAME - A contour pixel is extracted from binarized image data. The contour of the image data is approximated to a straight line based on the extracted contour pixel. It is determined whether a first straight line in the contour obtained by the straight-line approximation includes a portion to be kept straight in the curved-line approximation, based on the relationship between the first straight line and a second straight line connected to the first straight line. In a case where it is determined that the first straight line includes a portion to be kept straight, curved-line approximation is performed by setting a control point on the first straight line at a position closer to an end of the first straight line connected to the second straight line with respect to a midpoint of the first straight line. | 12-24-2009 |
20100150452 | MATCHING METHOD FOR TWO-DIMENSIONAL PATTERN, FEATURE EXTRACTING METHOD, APPARTUS USED FOR THE METHODS, AND PROGRAMS - A 2-dimensional pattern matching method contains a process of extracting a query feature data by projecting a vector representation of either of a query 2-dimensional pattern and a transformed query 2-dimensional pattern which is generated by transforming the query 2-dimensional pattern, to a feature space. An enrollment feature data as previously enrolled and a query feature data are inversely projected to the 2-dimensional pattern representation space which has the dimension of the vector representation and the similarity is calculated. The data size of a feature amount is small and a matching technique robust to the positional displacement and the image distortion is provided. | 06-17-2010 |
20100195915 | IMAGE PROCESSING APPARATUS AND COMPUTER READABLE MEDIUM - An image processing apparatus includes: a ruled line extracting unit that counts the number of pixels within an image, compares the counted number of pixels with a threshold value, and extracts a ruled line based on a result of the comparison; and an identifying unit that identifies a noise component in the ruled line extracted by the ruled line extracting unit based on thickness of the ruled line extracted by the ruled line extracting unit and the threshold value. | 08-05-2010 |
20100310178 | FUZZY METHOD TO DETECT THIN LINES IN SCANNED IMAGE - Disclosed herein is a method for detecting thin lines in image data. The method is performed by a processor to process contone image data. The processing includes thresholding a window of pixels using a first set of thresholds established in the contone domain, and then counting and thresholding the binary pixels using a second set of thresholds. The processing in the contone and binary domain are used to determine if a thin line exists and if a pixel of interest in the window is an edge pixel that is part of a thin line. The disclosed method produces better quality output images and reduces the addition of false lines in an image. | 12-09-2010 |
20120039540 | AUTOMATIC EVALUATION OF LINE WEIGHTS - Systems and methods may automatically evaluate printed line weights in an image composition. An image composition from a user and a selected portion of the image composition may be determined along with the number of horizontal and vertical rows of pixels in the selected portion. The number of positive pixels in each of the horizontal and vertical rows may then be determined. An actual printed size of a pixel may be calculated. The actual printed size of a pixel may be multiplied by the number of positive pixels in each of the horizontal rows and each of the vertical rows to determine a positive line weight of each of the horizontal rows and each of the vertical rows. A predetermined minimum positive line weight for the image composition may be identified and compared to the positive line weight of each of the horizontal rows and each of the vertical rows. | 02-16-2012 |
20120099797 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND COMPUTER-READABLE MEDIUM - An image processing apparatus includes a line information reception unit, a prediction determination unit, a feature amount calculation unit and a line determination unit. The line information reception unit receives a set of information indicating (i) information on an image having a possibility of being line and (ii) line element being a rectangular pixel lump constituting a line. The prediction determination unit determines whether or not a target line element matches a predicted value based on the received information. The predicted value indicates line element which is predicted when the target line element constitutes a line. The feature amount calculation unit calculates feature amount of the image when the prediction determination unit determines the target line element does not match the predicted value. The line determination unit determines whether or not the image is a line based on the calculated feature amount. | 04-26-2012 |
20120141035 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND COMPUTER-READABLE MEDIUM - An image processing apparatus includes a line information reception unit, a line extraction unit, an inversion unit and a determination unit. The line information reception unit receives a set of information indicating (i) information on an image having a possibly of being a line and (ii) line elements being a rectangular pixel lump which constitutes a line. The line extraction unit extracts a line by tracing from a first start point to an end point of the line, based on the received information indicating the line elements and a tracing direction of the line. The inversion unit inverts the tracing direction of the line, sets the extracted end point of the line as a second start point and sends the second start point and the inverted tracing direction to the line extraction unit. The determination unit determines whether or not to cause the inversion unit to perform a process. | 06-07-2012 |
20120288206 | PATH RECOGNITION DEVICE, VEHICLE, PATH RECOGNITION METHOD, AND PATH RECOGNITION PROGRAM - The recognition of a lane boundary line expressed by a stud-shaped lane mark is realized with high accuracy against noise and with a small calculation amount and a small memory consumption amount. | 11-15-2012 |
20130101227 | IDENTIFYING AND EVALUATING POSSIBLE HORIZONTAL AND VERTICAL LINES INTERSECTING POTENTIAL PALLET FEATURES - A method is provided for tracing a line from a possible corner of a pallet. The method may comprise: providing a Ro image; identifying, using a computer, a possible pallet corner in the Ro image; positioning, using the computer, a J×K window over at least respective portions of a plurality of rows in the Ro image including at least a portion of a row containing the possible corner; calculating, using the computer, an average of pixel values for each row in the J×K window; determining, using the computer, one of the rows in the J×K window having an average pixel value nearest a current pixel location being considered for inclusion in a line being traced and defining the one row as a nearest row; and deciding, using the computer, whether the nearest row is over a pallet. | 04-25-2013 |
20130101228 | IDENTIFYING AND EVALUATING POTENTIAL CENTER STRINGERS OF A PALLET IN AN IMAGE SCENE - A method is provided for evaluating a possible center stringer of a pallet. The method may comprise providing a first Ro image; providing a second Ro image comprising pixels that may generally correspond to an orthogonal distance from an origin point to one or more possible vertical right lines in the corresponding gray scale image; identifying, using a computer, a possible lower left corner location of a center stringer in the corresponding gray scale image; determining, using the computer, an upper left corner location based on the possible lower left corner location; identifying, using the computer, a possible lower right corner location of the center stringer in the corresponding gray scale image; and determining, using the computer, an upper right corner location based on the possible lower right corner location. | 04-25-2013 |
20130101229 | IDENTIFYING AND SELECTING OBJECTS THAT MAY CORRESPOND TO PALLETS IN AN IMAGE SCENE - A method is provided for identifying one or more scored candidate objects that may correspond to one or more actual pallets in a gray scale image. The method may comprise: identifying, by a computer, a first plurality of scored candidate objects in the gray scale image; storing, by the computer, a list of the first plurality of scored candidate objects, wherein the list includes a respective record for each of the first plurality of scored candidate objects; determining, by the computer, a subset of the first plurality of scored candidate objects to eliminate from the list based on a comparison amongst the respective records of the first plurality of scored candidate objects; and removing, by the computer, the subset of the first plurality of scored candidate objects from the list to create an updated list for a second plurality of scored candidate objects, wherein the updated list includes a respective record for each of the second plurality of scored candidate objects. | 04-25-2013 |
20130101230 | SELECTING OBJECTS WITHIN A VERTICAL RANGE OF ONE ANOTHER CORRESPONDING TO PALLETS IN AN IMAGE SCENE - A method is provided for identifying one or more scored candidate objects that may correspond to one or more actual pallets in a gray scale image. The method may comprise: identifying, by a computer, a first plurality of scored candidate objects in the gray scale image; storing, by the computer, a starting list of the first plurality of scored candidate objects, wherein the starting list includes a respective record for each of the first plurality of scored candidate objects that includes a respective location of the scored candidate object within the gray scale image, and a respective composite object score that represents a likelihood that the scored candidate object corresponds to an actual pallet structure in the gray scale image; and removing from the starting list each of the first plurality of scored candidate objects which: a) is located within a predetermined vertical distance of a particular one of the first plurality of scored candidate objects; and b) has a respective composite score less than that of the particular one scored candidate object. | 04-25-2013 |
20140105507 | AUTOMATIC EVALUATION OF LINE WEIGHTS - Systems and methods may automatically evaluate printed line weights in an image composition. An image composition may be received and the number of horizontal and vertical rows of pixels may be determined. The number of positive pixels in each of the horizontal and vertical rows may then be determined. An actual size of a pixel may be calculated. The actual size of a pixel may be multiplied by the number of positive pixels in each of the horizontal rows and each of the vertical rows to determine a positive line weight of each of the horizontal rows and each of the vertical rows. A predetermined minimum permissible positive line weight for the image composition may be identified and compared to the positive line weight of each of the horizontal rows and each of the vertical rows. | 04-17-2014 |
20140254941 | Search By Stroke - An electronic writing solution server includes a query engine and a user interface engine. The query engine receives a search query from a user, the search query specifying a field in at least one form and including a first stroke or text, retrieves clusters from a database, retrieves example strokes from the clusters at vary levels of similarity to the first stroke, receives user selections for strokes of interest from the example strokes, and retrieves information associated with the strokes of interest from the database. The user interface engine generates graphical data for presenting the retrieved information to the user. | 09-11-2014 |
20150131912 | SYSTEMS AND METHODS FOR OFFLINE CHARACTER RECOGNITION - A method, non-transitory computer readable medium and character recognition device for character recognition includes a character recognition device for receiving an image representing a character comprising one or more strokes. A set of first parameters associated with each of the one or more first strokes is determined. Each of the one or more first strokes is compared with the associated set of first parameters with a plurality of stored sets of second parameters, where each of the plurality of stored second strokes is associated with a stored set of second parameters. A second stroke is identified from among the plurality of stored second strokes corresponding to each of the one or more first strokes based on the comparison. The character is identified based on the identified one or more second strokes. | 05-14-2015 |
20150302572 | Method For Improving Linear Feature Detectability In Digital Images - The present disclosure is generally directed to of method linear feature detection in a structure by providing a first digital image of the structure, creating a second corresponding digital image of the structure from the first digital image and determining a direction to shift pixels of the second corresponding digital image. A pixel shift value may be input to shift pixels of the second corresponding digital image, and pixels of the second corresponding digital image are shifted by the input pixel shift value in the determined direction. A third corresponding digital image of the structure may be calculated by subtracting the second corresponding digital image of the structure from the first digital image of the structure. | 10-22-2015 |