Abstract:
A portable computer-vision-based non-contact vibration detection system and method. The system can process small vibrations and large vibrations separately in the captured images. The small vibrations can be enhanced, and the enhanced small vibrations are analyzed, and the analysis results of the small vibrations and large vibrations are fused, and the processed images are displayed through a GUI. The analysis results include displacements in Region of Interest, vibration frequencies or cycles, vibration amplitudes and phase angles, root mean square (RMS) values, etc., along with overall ‘virtual’ snapshots of vibrations with maximum amplitudes during the working period of the camera.
Abstract:
A system and method convert a pixel of binary image data to a pixel of contone image data by determining if a predetermined pixel of binary image data is part of a solid edge or part of a fuzzy edge. A binary to contone conversion circuit converts the predetermined pixel of binary image data to a pixel of a first contone image data value, and a filter circuit converts the predetermined pixel of binary image data to a pixel of a second contone image data value. The filter circuit uses an adaptive filtering operation wherein the adaptive filtering operation utilizes one of a plurality of sets of weighting coefficients to change a characteristic of the filtering operation. The set of weighting coefficients used in the filtering operation are selected in response to a fuzzy edge detection. A selection between the first contone image data value and the second contone image data value is made based upon the determination as whether the predetermined pixel of binary image data is part of a solid edge.
Abstract:
Embodiments relate to systems and methods for a computation-efficient image processing system architecture. Image data can be transmitted from a computer, online service, and/or other image source to an output device having a set of image processing modules in two or more image paths, including an edge detection module and a video decoding module. The edge detection module can produce edge tag output, and the video decoding module, operating in parallel, can generate decoded video output. The edge tag output and decoded video output can be transmitted to a set of downstream image processing modules, including modules for color trapping, edge smoothing, and other operations. Because earlier processing stages share information with downstream modules which require the same or related data, redundant processing can be reduced or eliminated. Complex image operations can therefore be carried out, and high-quality output can be generated, without sacrificing responsiveness.
Abstract:
The present disclosure relates to a method and system for processing isolated dots of an image to be printed by a printer. The method includes generating a random number, determining whether a target pixel is to be turned on and enabled for printing, determining a sum of pixels surrounding the target pixel in a plurality of pixels in a scanline of the image, the target pixel corresponding to an isolated dot in an input image, that are in an on state, the on state defined by a higher binary logic level relative to a binary logic level corresponding to a turned off pixel, determining a numerical value stored in a lookup table using the determined sum of pixels that are in the turned on state surrounding the target pixel as an index to the lookup table, and comparing the generated random number to the determined numerical value.
Abstract:
Disclosed is a processor-implemented method for processing image data representing a document using an image processing apparatus. The processor receives image data, determines the classifications and counts of pixels in the image data (e.g., in device independent space that are degrees of neutral or non-neutral), classifies the image data into a category based on the determination of classifications and counts of pixels, and determines a billing structure for the image data based on the classification of image data. The classification can be performed on the image data prior to conversion into device dependent space. For example, by counting true color, neutral, non-neutral, and fuzzy color pixels and comparing them to thresholds, the image data can be classified as neutral or very colorful. By classifying images earlier in the image path, errors in billing are reduced.
Abstract:
The present disclosure relates to a method and system for processing isolated holes in an image to be printed or displayed. The method includes detecting whether pixels corresponding to an isolated hole in the image are in an off state, determining a sum of pixels that are in an on state in a first pixel ring surrounding the pixels corresponding to the isolated hole when the one or more pixels in the isolated hole are detected to be in the off state, comparing the sum of pixels in the pixel ring that are in the on state with a threshold sum, turning off a number of pixels in at least another pixel ring either comprising of or surrounding the pixels when the first sum of pixels in the on state is greater than the threshold sum, and outputting the isolated hole including the turned off first number of pixels.
Abstract:
A method for detecting and growing isolated dots in a document image having a plurality of pixels is provided. The method includes isolating the pixels of the image to form a plurality of windows, each window having a target pixel; detecting an isolated dot in the received image; identifying a dot growth factor to grow the detected isolated dot in the received image; using the dot growth factor to identify tiered pixel patterns from a plurality of predefined, tiered pixel patterns, wherein each of the tiered pixel patterns having a predetermined dot growth factor; comparing the pixels within each window to the pixel patterns within the identified tier to identify a match between the pixels within the window and at least one of the pixel patterns; and changing a pixel value of the target pixel, when a match is identified, to grow the isolated dot by the dot growth factor.
Abstract:
A method for producing an electronic annotated document including embedding annotation information into an electronic annotation object having image data including an annotation, and producing the electronic annotated document using pixel information from the electronic document and the electronic annotation object. The annotation embedded information may be used to select corresponding pixel information from one of the electronic annotated object and electronic document to be provided in the electronic annotated document. A system and tangible storage medium having machine-readable instructions for producing an electronic annotated document are also disclosed.
Abstract:
A method for processing image data includes using advantages of both a three-layer MRC model and an N-layer MRC model to create a new 3+N layer MRC model and to generate a 3+N layer MRC image. The method includes providing input image data; segmenting the input image data to generate: (i) a background layer representing the background and the pictorial attributes of the image data, (ii) one or more binary foreground layers, (iii) a selector layer, and (iv) a contone foreground layer representing the foreground attributes of the image data on the background layer; and integrating the background layer, the selector layer, the contone foreground layer, and the one or more binary foreground layers into a data structure having machine-readable information for storage in a memory device. Each binary foreground layer includes one or more pixel clusters representing text pixels of a particular color in the input image data.