Abstract: An image drawing method, a display apparatus, and a storage medium, relates to the technical field of display. The method comprises: determining a gray-scale value of each of a plurality of target-pixels in a displayed image; determining a pixel quantity in each preset gray-scale level according to the gray-scale value of each of the plurality of target-pixels; representing a maximum quantity of a plurality of pixel quantities by a first numeral system, to read values in a preset digit range of the digit of the first numeral system corresponding to the maximum quantity, determining a proportional coefficient corresponding to the values, and according to a height of a histogram to be drawn, a gray-scale to be drawn and the proportion coefficient, drawing the histogram.

Abstract: Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.

Abstract: Exemplary embodiments of the present disclosure include apparatus and methods to classify the plaque tissue present in the coronary artery using intravascular optical coherence tomography (IVOCT) images.

Abstract: Techniques to leverage computer monitor and graphics card hardware capabilities, using DCI-P3 and rec2020 color spaces for medical imagery are provided. The technique involves downloading the original raw source pixel data from the medical image from the webserver to the browser. A window and level transform is then applied to the raw pixel data enabling it to be displayed using the web browser capable of leveraging the hardware capabilities of commodity monitors and video cards that are capable of high bit depth display.

Abstract: Systems and methods are provided for assessing whether mobile deposit processing engines meet specified standards for mobile deposit of financial documents. A mobile deposit processing engine (MDE) is evaluated to determine if it can perform technical capabilities for improving the quality of and extracting content from an image of a financial document. A verification process then begins, where the MDE performs the image quality enhancements and text extraction steps on sets of images from a test deck. The results of the processing of the test deck are then evaluated by comparing confidence levels with thresholds to determine if each set of images should be accepted or rejected. Further analysis determines whether any of the sets of images were falsely accepted or rejected in error. An overall error rate is then compared with minimum accuracy criteria, and if the criteria are met, the MDE meets the standard for mobile deposit.

Abstract: An information processing apparatus includes: a memory configured to store one or more instructions; and a processor configured to execute the one or more instructions to: obtain a first image including a first representation of an iris region of a first eye; obtain a second image including a second representation of an iris region of a second eye; receive an input to rotate at least one of the first image or the second image; and control a display to display the at least one of the first image or the second image in a rotated state based on the input.

Abstract: A method for enhancing an audio signal in a full duplex communication system includes the steps of: a) receiving a far end audio signal from a communication input; b) forwarding the far end audio signal to an audio speaker; c) receiving a near end audio signal from a microphone; d) performing an echo reduction on the received near end audio signal; e) forwarding the near end audio signal after the echo reduction to a communication output; f) determining whether a residual echo still exists in the near end audio signal after the echo reduction; and g) attenuating the near end audio signal or deactivating its forwarding to the communication output if the existence of residual echo is determined.

Abstract: Provided are a video retrieval method and apparatus, a medium, and a server. The video retrieval method includes: receiving a video retrieval request from a terminal, the video retrieval request carrying retrieval key information; searching a video database for a natural sentence matching the retrieval key information, the video database including a plurality of videos, each video having a natural sentence obtained through processing frames of the video using an encoder, a decoder and a reconstructor of a neural network; obtaining a video corresponding to the natural sentence matching the retrieval key information; and returning the matching video to the requesting terminal.

Abstract: In order to acquire recognition environment information impacting the recognition accuracy of a recognition engine, an information processing device 100 comprises a detection unit 101 and an environment acquisition unit 102. The detection unit 101 detects a marker, which has been disposed within a recognition target zone for the purpose of acquiring information, from an image captured by means of an imaging device which captures images of objects located within the recognition target zone. The environment acquisition unit 102 acquires the recognition environment information based on image information of the detected marker. The recognition environment information is information representing the way in which a recognition target object is reproduced in an image captured by the imaging device when said imaging device captures an image of the recognition target object located within the recognition target zone.

Abstract: A production monitoring and analysis method based on an image data algorithm includes: obtaining a reconstructed gray histogram according to a gray image of an image where a product identification code is located; obtaining a segmentation threshold of an Otsu algorithm for segmenting the reconstructed gray histogram, obtaining the adjustment of the gray level in the sub-gray histogram according to the number of pixels corresponding to each gray level in the reconstructed gray histogram and the segmentation threshold, correcting the sub-gray histogram to obtain a corrected sub-gray histogram according to the adjustment of the gray level in the sub-gray histogram, the lateral segmentation threshold of the sub-gray histogram, and all the gray levels greater than the lateral segmentation threshold, and obtaining an enhanced gray image according to the corrected sub-gray histogram. The method avoids the loss of original information when using histogram equalization for image enhancement.

Abstract: A system for vector extraction comprising a vector extraction engine stored and operating on a network-connected computing device that loads raster images from a database stored and operating on a network-connected computing device, identifies features in the raster images, and computes a vector based on the features, and methods for feature and vector extraction.

Abstract: A circuit for receiving signals from a photodetector array arranged to detect signals generated by a crystal includes a plurality of summing circuits having weighting circuits, the summing circuits being configured to produce outputs corresponding to a total energy of the signals, a position of the signals in a first dimension of the photodetector array, a position of the signals in a second dimension of the photodetector array, and a radius of a charge distribution of the signals.

Abstract: An exit warning system and a control method thereof are proposed to prevent a malfunction of a SEA system by distinguishing a person approaching a host vehicle from another vehicle, where the warning system includes a target detection sensor configured to detect a target approaching a host vehicle, and a controller configured to control not to transmit a warning signal of a safety exit assist system, in response to a speed of the target is less than or equal to a threshold speed and a position of the target is positioned within a distance from a vehicle door of the host vehicle.

Abstract: The objective of the present invention is to reduce differences between individual electron beam observation devices accurately by means of image correction.

Abstract: A method of determining a signal histogram having a predetermined number of bins. The method includes: receiving an input signal; decimating the input signal, thereby generating a decimated signal that includes a maximum signal value and a minimum signal value associated with the maximum signal value; assigning the maximum signal value to a maximum bin of a signal histogram; assigning the minimum signal value to a minimum bin of the signal histogram; and filling at least one intermediate bin of the signal histogram with an intermediate value, wherein the intermediate bin is located between the minimum bin and the maximum bin in the signal histogram.

Abstract: A video quality evaluation system comprises a training module, a calculation module, an analytical module, a designing module, an optimization module, and an estimation module. The training module collects training videos and trains labels of perceptual quality generation that is associated with the collected videos. The calculation module determines objective metrics based on the trained labels that are associated with the collected videos. The analytical module analyses scenes of the training video, and correlates objective metrics associated with the analysed scenes using perceptual parameters. The designing module designs a Convolutional Neural Network (CNN) Architecture based on data associated with the objective metrics and trains a model generated based on the designed CNN architecture. The optimization module optimizes the model and optimizes power after the model optimization. The estimation module estimates perceptual quality scores for incoming video data after the power optimization.

Abstract: A projection device and a projection image correction method are provided. Four target coordinates of four target vertices forming a target quadrilateral boundary are obtained. A first trapezoidal boundary is obtained according to a predetermined image boundary and a first coordinate component of each of the four target coordinates. At least one edge of the target quadrilateral boundary is extended until intersecting with at least one of two reference line segments to obtain a second trapezoidal boundary. Bases of the first trapezoidal boundary are perpendicular to bases of the second trapezoidal boundary. First direction scaling processing is performed according to the first trapezoidal boundary, and second direction scaling processing is performed according to the second trapezoidal boundary, to scale an original image into a target image block aligned with the target quadrilateral boundary in an output image. The projection device projects the output image to display a rectangular projection image.

Abstract: In order to acquire recognition environment information impacting the recognition accuracy of a recognition engine, an information processing device 100 comprises a detection unit 101 and an environment acquisition unit 102. The detection unit 101 detects a marker, which has been disposed within a recognition target zone for the purpose of acquiring information, from an image captured by means of an imaging device which captures images of objects located within the recognition target zone. The environment acquisition unit 102 acquires the recognition environment information based on image information of the detected marker. The recognition environment information is information representing the way in which a recognition target object is reproduced in an image captured by the imaging device when said imaging device captures an image of the recognition target object located within the recognition target zone.

Abstract: A distance measurement accuracy is improved without increasing power consumption of an image processing apparatus that performs distance-measuring processing. In one embodiment, an image processing apparatus for calculating distance information on an image has a reliability calculation unit 113 configured to calculate reliability in accordance with contrast for each pixel of the image and a distance calculation unit 116 configured to calculate distance information on each of the pixels based on reliability of each of the pixels. The distance calculation unit 116 calculates the distance information about a second pixel group whose reliability is lower than that of a first pixel group by using a collation area whose size is larger than a predetermined size in a range in which an amount of calculation in a case where a collation area of the predetermined size is used for all the pixels of the image is not exceeded.

Abstract: A system for vector extraction comprising a vector extraction engine stored and operating on a network-connected computing device that loads raster images from a database stored and operating on a network-connected computing device, identifies features in the raster images, and computes a vector based on the features, and methods for feature and vector extraction.

Abstract: A grid clustering-based system for locating abnormal area of solder paste printing and a method thereof are disclosed. In the system, an analysis device divides circuit board size information to generate divided grids based on grid size information, when a total number of at least one bad solder joint of one of the divided grids is determined to be higher than or equal to a density threshold value, the analysis device sets the one of divided grids as a high dense grid, the analysis device then integrates the divided grids, which are high dense grids and interconnected to each other, as a high-dense bad solder joint area. Therefore, the technical effect of integrating high dense areas of bad solder joint to locate the bad solder joint can be achieved.

Abstract: An automatic multi-threshold feature filtering method and an apparatus thereof are provided. In an iterative process of training a machine learning model, the feature filtering method calculates a feature filtering threshold and feature correlation values of a current round of iteration based on a result of a previous iteration, and performs feature filtering on samples based on the calculated feature filtering threshold and the calculated feature correlation values. The feature filtering apparatus of the present disclosure includes a calculation module and a feature filtering module. The method and apparatus of the present disclosure can automatically generate different feature filtering thresholds at each iteration, which greatly improves an accuracy of a filtering threshold, and can greatly increase the training speed of automatic machine learning and an accuracy of a machine learning model compared with fixed and single thresholds nowadays.

Abstract: A distance measurement accuracy is improved without increasing power consumption of an image processing apparatus that performs distance-measuring processing. In one embodiment, an image processing apparatus for calculating distance information on an image has a reliability calculation unit 113 configured to calculate reliability in accordance with contrast for each pixel of the image and a distance calculation unit 116 configured to calculate distance information on each of the pixels based on reliability of each of the pixels. The distance calculation unit 116 calculates the distance information about a second pixel group whose reliability is lower than that of a first pixel group by using a collation area whose size is larger than a predetermined size in a range in which an amount of calculation in a case where a collation area of the predetermined size is used for all the pixels of the image is not exceeded.

Abstract: An image processing apparatus including a division unit configured to divide first image data having a first dynamic range into a plurality of regions, an obtaining unit configured to obtain distance information indicating a distance from a focal plane in each of the plurality of regions, a determining unit configured to determine a conversion characteristic of each of the plurality of regions based on the distance information, a conversion unit configured to convert each of the plurality of regions into second image data having a second dynamic range smaller than the first dynamic range by using the conversion characteristic determined by the determining unit, and a storage unit configured to store a first conversion characteristic and a second conversion characteristic that can be used for the conversion.

Abstract: An inspection system is provided for detecting defects on surfaces. The system uses a pattern with varying color or darkness which faces the surface. A light illuminates the pattern on the surface so that the pattern and any defects on the surface are reflected and captured for image analysis. The processor then separates the pattern from the image in order to identify the locations of any defects on the surface.

Abstract: An augmented reality projection device is provided. The augmented reality projection device includes an excitation light source that generates excitation light and a fluorescent light detector that detects fluorescent light generated in the fluorescent light generation area and generates a fluorescent image. The device also includes a projector that converts an image signal for displaying a visual indicator in the fluorescent light generation area into visual indicator light. The device further includes a processor that controls operations of the excitation light source, the fluorescent light detector, and the projection. The device further includes a coaxial optics that delivers the excitation light and the visual indicator light to the fluorescent light generation area and delivers the fluorescent light to the fluorescent light detector.

Abstract: The present disclosure provides systems and methods to detect occluded objects using shadow information to anticipate moving obstacles that are occluded behind a corner or other obstacle. The system may perform a dynamic threshold analysis on enhanced images allowing the detection of even weakly visible shadows. The system may classify an image sequence as either “dynamic” or “static”, enabling an autonomous vehicle, or other moving platform, to react and respond to a moving, yet occluded object by slowing down or stopping.

Abstract: A method for image generation, an electronic device and a storage medium are provided. The method includes: a first image of a target object is generated according to a line image of the target object; structure extraction is performed on the first image to obtain at least one of texture information or orientation information of the first image; and a second image of the target object is generated according to the at least one of the texture information or the orientation information.

Abstract: A method, a non-transitory computer readable medium and a system for determining three dimensional (3D) information of structural elements of a substrate.

Abstract: Embodiments relate to axial chromatic aberration (ACA) reduction of raw image data generated by image sensors. A chromatic aberration reduction circuit performs chromatic aberration reduction on the raw image data to correct the ACA in the full color images through sharpening that has been clamped to reduce sharpening overshoot.

Abstract: Methods and program products for adjusting characteristics of photographs captured by electronic devices. The disclosed methods may include identifying a location of an electronic device at a detectable time. The electronic device may include a camera configured to capture a photograph at the location. The method may also include analyzing environmental data relating to the identified location, analyzing historical data for a collection of previously captured photographs at the identified location and providing at least one notification on the electronic device based on the analyzed environmental data and/or the analyzed historical data. Additionally, the method may include adjusting at least one camera setting for the camera of the electronic device based on the analyzed environmental data and the analyzed historical data.

Abstract: The present invention provides to a web-based software and hardware system that act together with a user device to capture an audio feed, to easily encode and add meta data to the the audio content using input from studio systems, parse the content based on its type, and to provide the means to incorporate a feed segment produced from the encoded audio feed into a secondary production which is used to provide an indexed archive of audio and on-demand broadcast content, for example, by the creation and publication of pod-casts or on-demand broadcast, which includes ad positions inserted and dynamically served.

Abstract: According to one embodiment, an image processing device includes a luminance acquiring unit and a local tone-mapping unit. The luminance acquiring unit acquires a luminance signal of a target pixel in an image by performing filter processing on an image signal. The luminance acquiring unit generates a luminance signal by blending a first luminance-filter result obtained by a first luminance filter and a second luminance-filter result obtained by a second luminance filter. The local tone-mapping unit performs local tone mapping of the luminance signal.

Abstract: A computer diagnostic system and related method are disclosed for automatically classifying tissue types in an original tissue image captured by an imaging device based on texture analysis. In one embodiment, the system receives and divides the tissue image into multiple smaller tissue block images. A combination of local binary pattern (LBP), average LBP (ALBP), and block-based LBP (BLBP) feature extractions are performed on each tissue block. The extractions generate a set of LBP, ALBP, and BLBP features for each block which are used to classify its tissue type. The classification results are visually displayed in a digitally enhanced map of the original tissue image. In one embodiment, a tissue type of interest is displayed in the original tissue image. In another or the same embodiment, the map displays each of the different tissue types present in the original tissue image.

Abstract: An image processing apparatus includes a degree-of-degradation detector, a degree-of-degradation estimation unit, a correction system selector and a gradation correction unit. The degree-of-degradation detector detects a degree of degradation of an image data. The degree-of-degradation estimation unit estimates a dispersion of the degree of degradation in the image data. The correction system selector selects either a first gradation correction system or a second gradation correction system in accordance with the dispersion of the degree of degradation. The gradation correction unit performs gradation correction of the image data based on either the selected first or second gradation correction system.

Abstract: An image processing apparatus according to the present invention comprises a histogram generating section for generating a histogram by counting a frequency value for each gradation of a predetermined number of gradations as brightness distribution of input image data, a distribution processing section for distributing a count value of the histogram to adjacent gradations, a cumulative histogram generating section for generating a cumulative histogram by accumulating the histograms obtained by the histogram generating section from a low gradation side, and a gradation correction processing section for performing contrast correction by using the cumulative histogram, wherein the distribution processing section fixes a distribution amount to the predetermined number of gradations when distributing the count value to the adjacent gradations.

Abstract: An image adjusting method and a related display are applied to automatically adjust luminance of an image according to analyze of a gray level histogram of the image. The image adjusting method includes generating the gray level histogram of the image, dividing the gray level histogram into at least one first zone and one second zone, comparing a total amount of pixels in the first zone with a threshold, and utilizing a modification function to adjust luminance of each pixel within the first zone according to a comparison result. A grey level of the first zone is greater than a grey level of the second zone. Luminance of the first zone is decreased by the modification function while the total amount of pixels in the first zone is greater than the threshold.

Abstract: Content update and suggestion techniques are described. In one or more implementations, techniques are implemented to generate suggestions that are usable to guide creative professionals in updating content such as images, video, sound, multimedia, and so forth. A variety of techniques are usable to generate suggestions for the content professionals. In one example, suggestions are based on shared characteristics of images licensed by users of a content sharing service, e.g., licensed by the users. In another example, suggestions are based on metadata of the images licensed by the users, the metadata describing characteristics of how the images are created. These suggestions are then used to guide transformation of a user's image such that the image exhibits these characteristics and thus has an increased likelihood of being desired for licensing by customers of the service.

Abstract: A system for identifying pixels associated with moving objects in a series of image frames establishes a stationary pixel value for the portion of the image that is stationary, that is, the background. As the stationary background is generally visible more often than the moving objects, each of the pixel values in a sequence of frames is placed into one of three groups or bins, each bin having a respective range of values. The bin with the most pixel values placed therein represents the stationary background and the average of the pixel values in that bin is set as the background pixel value against which pixel values in subsequent frames are compared to identify the moving objects in the image.

Abstract: In one embodiment, a method of identifying the dominant orientations of a scene comprises representing a scene as a plurality of directional vectors. The scene may comprise a three-dimensional representation of a scene, and the plurality of directional vectors may comprise a plurality of surface normals. The method further comprises determining, based on the plurality of directional vectors, a plurality of orientations describing the scene. The determined plurality of orientations explains the directionality of the plurality of directional vectors. In certain embodiments, the plurality of orientations may have independent axes of rotation. The plurality of orientations may be determined by representing the plurality of directional vectors as lying on a mathematical representation of a sphere, and inferring the parameters of a statistical model to adapt the plurality of orientations to explain the positioning of the plurality of directional vectors lying on the mathematical representation of the sphere.

Abstract: To provide a charged particle beam apparatus capable of obtaining an image with high contrast and high visibility, the apparatus has: a charged particle optical system; a detection part to detect secondary charged particles generated from the sample; an image formation part to receive a detection signal from the detection part and form an image of the sample; an image processing part to process the image formed with the image formation part; and a display part to display the result of processing with the image processing part, wherein the image formation part has a pulse-count signal processing part to generate cumulative histogram information on a pulse signal component in the detection signal, set a threshold value for pulse signal detection using information on the generated cumulative histogram, and output a detection signal having a value higher than the set threshold value as a pulse signal.

Abstract: There is provided a device for calculating dynamic variation of an object, comprising: an enhancement processing unit that adjusts brightness of a pixel determined to indicate a particle dispersed in the object in at least two (2) images generated for the object at different time points; and a calculating unit that calculates dynamic variation of the object based on correlation of the different two (2) images processed by the enhancement processing unit. Herein, the enhancement processing unit sets brightness of a pixel having brightness with a threshold value or higher for each of the images to reference brightness higher than the threshold value.

Abstract: In order to provide an image processing apparatus etc. that can precisely recognize multiple regions with density value fluctuation in an image with a simple operation in a process of recognizing a specific region from the image, a CPU performs threshold determination for a target pixel and the multiple pixels surrounding the target pixel (determination range) included in a three-dimensional original image by applying predetermined threshold conditions and specifies the target pixel as a recognized pixel when the threshold conditions are satisfied. The threshold conditions preferably apply different thresholds between a pixel on the same flat surface with the target pixel and a pixel on the other flat surface. By successively moving the target pixel (determination range) and repeating the above-mentioned threshold determination, it is performed also for the entire three-dimensional original image.

Abstract: A character segmentation section, for segmenting characters of a character line may include a minimum pixel-value curve creating section configured to extract a smallest pixel value in pixels composing a pixel line arranged in a direction orthogonal to a character line direction in said multi-level image data and create a minimum pixel-value curve, a character partitioning position determining section configured to determine partitioning positions of said characters, based on said minimum pixel value curve, a binarization processing section configured to detect a minimum pixel value indicating said linear drawing from said minimum pixel-value curve, acquires a binarization threshold based on said minimum pixel value, and binarizes said multi-level image data using said binarization threshold, and a character segmentation implementing section configured to extract the image data of each character.

Abstract: Disclosed is a threshold setting apparatus including a creating unit which creates a plurality of images of tones by performing a tone conversion process on an original image including a subject by using a plurality of temporary thresholds which are different from each other, a subject detection unit which detects the subject in each of the plurality of images of tones which are created by the creating unit, an evaluation value calculating unit which calculates evaluation values relating to likeness to the subject from the plurality of subjects detected by the subject detection unit and associates the evaluation values with the temporary thresholds, and a setting unit which sets a threshold suited for the tone conversion of the original image based on the plurality of evaluation values calculated by the evaluation value calculating unit.

Abstract: A method is disclosed for determining a branching point within a hollow organ in image data representing the spatial structure thereof. In at least one embodiment, the method includes setting a start point within the hollow organ; determining at least one local threshold which corresponds to the presence of a wall of the hollow organ; carrying out a region growing method using the threshold; analyzing the connectivity of a number of outer growth layers; and localizing a branching on the basis of the connectivity analysis. Moreover, at least one embodiment of the invention relates to a correspondingly designed branching determination unit.

Abstract: According to exemplary inventive practice, a region containing an object of interest, such as a jet particle of a shaped charge, is extracted from a raw radiographic image. This regional image is filtered, and its pixel intensity range is rescaled to increase contrast. The filtered, re-contrasted image is converted to a binary image by setting a threshold pixel intensity, and assigning a binary pixel intensity of either 1 or 0 to each pixel, depending on its scaled pixel intensity versus the threshold pixel intensity. The binary image is inverted and filtered. Contiguities of binary-one pixels to binary-zero pixels in the inverted, filtered binary image provide the basis for delineating the outline of the object. The object's outline is superimposed on the object's portrayal in the original regional image, to assess the degree of match. Various threshold pixel intensities can be applied in plural iterations until a sufficient match is obtained.

Abstract: A sensing method and a sensing apparatus for a capacitive touch device sense variations of self capacitances of first traces in a first direction and second traces in a second direction and variations of mutual capacitances of intersections between the first traces and the second traces, and then generates fourth sensed values from the first, second and third sensed values to serve as sensed values of the changes of the mutual capacitances of the intersections between the first traces and the second traces for identifying one or more touch points. Therefore, noise interference is suppressed and real touch points can be easily to be identified.

Abstract: An embodiment of the invention provides a method for sharing digital images on an image-sharing application, wherein a digital image is received from a user, the digital image including a first access setting defined by the user. A user-defined select region is identified on the digital image with a processor, wherein the select region includes a second access setting. Access to the digital image is permitted with an access controller based on the first access setting; and, access to the select region is permitted with the access controller based on the second access setting. In at least one embodiment, the digital image is displayed only to a first group of individuals based on the first access setting; and, the select region is displayed only to a second group of individuals based on the second access setting.

Abstract: An image processing apparatus includes a calculation unit configured to calculate information indicating similarity among a plurality of tomographic images, and a generation unit configured to generate a tomographic image from the plurality of tomographic images based on the calculated information indicating similarity.