Abstract: A method for image processing, including: obtaining an image including a table; identifying a first line corresponding to the table in the image, a first confidence value for the first line, and a first angle for the first line; initiating a plurality of angle bins corresponding to multiple angles; calculating, based on the first confidence value, a first plurality of bin values for a first subset of the plurality of angle bins within a window surrounding the first angle; adding the first plurality of bin values to the first subset of the plurality of angle bins; identifying an angle bin of the plurality of angle bins having a maximum bin value; and rotating the image based on the angle bin having the maximum bin value.

Abstract: An image processing method is provided. The method includes the steps of: receiving upper image data; calculating a first ratio using a target pixel and a plurality of first reference pixels in the upper image data; calculating a first diffusion coefficient according to the first ratio and a diffusion coefficient mapping equation; calculating a first pixel value of the target pixel according to the target pixel, the first reference pixels, and the first diffusion coefficient; receiving lower image data; calculating a second ratio using the target pixel and a plurality of second reference pixels in the lower image data, wherein the target pixel has the first pixel value; calculating a second diffusion coefficient according to the second ratio and the diffusion coefficient mapping equation; and calculating a second pixel value of the target pixel according to the target pixel, the second reference pixels, and the second diffusion coefficient.

Abstract: An image photographing apparatus is provided, which includes a camera which photographs an image, a processor which is configured to control the camera to acquire a plurality of first images based on a first shutter timing and to acquire a second image based on a second shutter timing, wherein the processor is further configured to generate a brightness map of the second image using the acquired first images, and to generate a post-processed image of the second image using the generated brightness map.

Abstract: Piecewise smooth regularization of data is disclosed. One example is a system where input data is received, the input data being associated with a certainty function indicative of confidence of each data element in the input data. Guide data including information indicative of presumed piecewise smoothness of the input data is received. A joint edge-aware filter is applied, based on the guide data, to the input data to provide filtered data. The joint edge-aware filter is applied, based on the guide data, to the certainty function to provide filtered certainty. A normalized convolution algorithm is applied to the filtered data and the filtered certainty to provide output data indicative of a piecewise smooth regularization of the input data.

Abstract: A method for imaging a flowing media within static regions includes obtaining a plurality of signals using the speckle properties of the flowing media. The plurality of signals are compared to one another such as by subtraction. The static regions are removed from the plurality of signals by the comparison. The remaining signals are combined (such as by summing) to produce an image of the flowing media.

Abstract: A system and method are disclosed that perform sharpening of an image to remove or reduce the noise component in the Euclidian and polar dimensions of the image. A sharpening module receives an unprocessed image. A plurality of sub-images are determined from the received image. For each sub-image, a plurality of pixels of the sub-image are rotated based on a specific rotation angle. A sagittal and a tangential function of the plurality of pixels are determined for a specific radius of the camera lens. A sharpening function is applied to the sagittal and tangential functions of the plurality of pixels of the rotated sub-image. The sharpened sub-image is inverse rotated based on a rotation angle to revert it to its original orientation. The sharpened sub-images are blended at their edges to remove discontinuities between the sub-images.

Abstract: A method of rectifying an image representing a surface of a tire is provided. According to the method, a circumferential marking present on a tire is detected in an image of the tire. Based on the marking, and for each line of a plurality of lines of the image, a reference position on the tire is determined. For each of the lines of the image, a difference between the reference position on the line under analysis and a minimum value of the reference positions for all of the lines of the image is determined. For each of the lines of the image, pixels of the line under analysis are radially offset by a value of the difference.

Abstract: A method for identifying a feature of an image is provided. The method includes: segmenting an image into a plurality of blocks, wherein each block includes a plurality of cells; transforming pixels of each cell from a spatial domain to a frequency domain; and identifying a Histogram of Oriented Gradient (HOG) feature of the image in the frequency domain.

Abstract: The image processing device includes: a first motion vector detecting section detects a first motion vector indicating a motion from a subsequent frame to the target frame; a second motion vector detecting section detects a second motion vector indicating a motion from a previous frame to the target frame; a first moved image generating section generates data of a first moved image based on data of the subsequent frame and the first motion vector; a second moved image generating section generates data of a second moved image based on data of the previous frame and the second motion vector; and a corrected image generating section generates data of a corrected image, based on data of the target frame, and the data of the first and the second moved images.

Abstract: An apparatus for measuring edge features of a work piece includes an optical sensor assembly and a reference device. The reference device includes a contact surface configured to contact a surface of the work piece adjacent to an edge of the work piece and a marked surface including a plurality of markings indicating positions relative to the contact surface. The reference device is configured to be coupled to a portion of the optical sensor assembly such that the optical sensor assembly is positioned to capture an image representing a portion of the marked surface and an edge feature of the work piece.

Abstract: Provided is a rectification apparatus of a stereo vision system and a method thereof. The method comprises: distinguishing variables and parameters preset in a determinant configured with parameters of the stereo cameras and rectification parameters for axial movement of the rectification, and converting the determinant into a linear function by substituting constant parameters for the parameters preset in the determinant; storing left and right images transmitted from the stereo cameras; sequentially performing a coordinate operation; calculating a weight and coordinates of a camera image plane; and linearly interpolating the pixel value by using the calculated weight and coordinates of the camera image plane, and then mapping the pixel value to the coordinates of the rectified image plane.

Abstract: Provided is an apparatus for measuring a quality of a holographic image. The apparatus includes: a hologram image reconstruction unit configured to perform a hologram image; a superimposed focus image generation unit configured to collect an area that is in focus from reconstructed images and superimpose into a single image; and a hologram image quality measurement unit configured to perform an image quality evaluation for the superimposed focus image.

Abstract: A system for monitoring a component is provided. The system includes a plurality of fiducial markers, an optical scanner for analyzing the fiducial markers, and a processor. The plurality of fiducial markers may be on an exterior surface of the component. The processor may be in operable communication with the optical scanner and operable for measuring the fiducial markers along an X-axis, a Y-axis, and a Z-axis to obtain an X-axis data point set, a Y-axis data point set, and a Z-axis data point set. The X-axis, the Y-axis, and the Z-axis are mutually orthogonal. Methods of using the system are also provided.

Abstract: A standard image of a product to be a standard for an inspection target is displayed, to set a first region so as to surround a standard pattern in the standard image. Further, a second region for characterizing a position and a posture of the standard pattern is set in the standard image. In a first search step, a feature extracted from the first region set in the standard image is searched from an inspection target image, to roughly obtain the position and the posture of the standard pattern in the inspection target image. In the second search step, the feature extracted from the second region set in the standard image is searched from the inspection target image, to minutely obtain at least one of the position and the posture of the standard pattern in the inspection target image.

Abstract: A feature portion desired by a user out of an inspection target image is accurately positioned. A standard region is set so as to surround a standard pattern in a standard image of a product to be a standard for an inspection target. A sorting region, which is a region for sorting a plurality of candidates similar to the standard pattern, is set in the inspection image. The standard pattern is searched from the inspection image, to extract a plurality of candidates similar to the standard pattern. The sorting region is disposed with respect to each of the plurality of candidates for the standard pattern, extracted in the extraction step, to sort a candidate for the standard pattern based on an evaluation value of the sorting region disposed with respect to each of the plurality of candidates for the standard pattern.

Abstract: A method of determining camera poses includes capturing a plurality of image frames using a camera, computing relative poses between each set of image frame pairs to provide a relative pose set and an uncategorized relative pose set, and detecting and removing miscategorized relative poses to provide a remaining relative pose set. The method also includes determining global poses using the remaining relative pose set and computing extended relative poses for at least a portion of the miscategorized relative poses and at least a portion of the uncategorized relative pose set to provide an extended relative pose set and an extended uncategorized relative pose set. The method further includes detecting and removing extended miscategorized relative poses to provide a remaining extended relative pose set and determining updated global poses for the plurality of image frames using the remaining relative pose set and the remaining extended relative pose set.

Abstract: There is provided a computer-implemented method for detecting a fatty liver, comprising: receiving imaging data of a computed tomography (CT) scan performed using a single source CT Scanner with settings selected for imaging of non-fatty-liver pathology, segmenting a region of the liver by creating a binary image by applying binary segmentation to a sub-set of pixels of the imaging data according to a first set-of-rules, and mapping the region of liver of the binary image to the segmented region of the portion of the liver of the imaging data, calculating liver parameter(s) for the segmented region of the liver from Hounsfield unit (HU) value(s), and detecting the presence of a fatty liver by analyzing the calculated liver parameter(s) according to a second set-of-rules.

Abstract: An image processing apparatus includes a control unit that reconstructs images by using raw data, a storage unit that stores the raw data, the images, and reconstruction conditions used when the images are reconstructed, in correlation with each other, a display unit; and an input unit that inputs selection of an image on which post-reconstruction will be performed among the images stored in the storage unit and post-reconstruction conditions, by referring to the image displayed on the display unit, in which the control unit receives selection of the image which is input via the input unit, reads selected image reconstruction conditions based on the received selection of the image from the storage unit, calculates comparison information of image quality on the basis of the read reconstruction conditions and post-reconstruction conditions input via the input unit, and displays the calculated comparison information on the display unit.

Abstract: A system analyzes angiogram image data, including video data, in order to extract vasculature information. Advanced image processing and machine learning techniques are used in pre-processing, frame selection, and vasculature segmentation to remove classes of artifacts from angiogram videos, and specifically from frames selected as having a sufficient amount of image data. From segmentation, accurate vasculature diameters are calculated, and, in some examples, stenoses and/or the extent of stenosis is automatically determined and displayed.

Abstract: Methods and systems related to dynamic visualization of a representation of a first three-dimensional (3D) object are provided. In some embodiments, a computer system receives a request for facilitating identification of the representation of the first 3D object based on a plurality of images. The plurality of images represents datasets associated with a series of slices of a second 3D object. The computer system identifies a current image of the plurality of images based on the request. The current image represents a dataset associated with a current slice of the series of slices. The computer system displays, in absence of additional user input, two or more images of the plurality of images to facilitate visualization of the representation of the first 3D object. The two or more images include the current image and one or more images representing datasets associated with neighboring slices of the current slice.

Abstract: Methods and systems related to variation assessment of a first 3D object are provided. In some embodiments, a computer system obtains a first dataset and a second dataset. The first dataset represents data associated with a first evaluation of the first 3D object and the second dataset represents data associated with a second evaluation of the first 3D object. The computer system determines a first metric based on the first dataset and a second metric based on the second dataset. The first and second metrics represent distributions of probabilities with respect to values associated with the characteristic of the first 3D object at the first and second evaluations, respectively. The computer system further provides, based on the first metric and the second metric, an assessment of the first 3D object variation between the first evaluation and the second evaluation.

Abstract: In part, the disclosure relates to shadow detection and shadow validation relative to data sets obtained from an intravascular imaging data collection session. The methods can use locally adaptive thresholds and scan line level analysis relative to candidate shadow regions to determine a set of candidate shadows for validation or rejection. In one embodiment, the shadows are stent strut shadows, guidewire shadows, side branch shadows or other shadows.

Abstract: A user terminal apparatus is provided. The user terminal apparatus includes a camera configured to obtain a captured image; a storage configured to store a food intake history; a processor configured to extract a food image from the captured image and determine a food type of a food item included in the captured image based on feature information of the extracted food image and the previously stored food intake history; and a display configured to display relevant information about the determined food type.

Abstract: Systems and methods for matching a characteristic of multiple sectors of a moving tissue to verify an overlap thereof are disclosed herein. In an exemplary method, tissue data for at least a first sector and a second sector of a moving tissue is acquired. A characteristic of at least a portion of the first and second sectors is estimated from the acquired tissue data, and the estimated characteristics are matched to verify whether a portion of the first sector overlaps with a portion of the second sector. Estimating can include estimating a displacement such as an axial displacement and/or lateral displacements. Estimating can further include estimating a strain, a velocity, a strain rate and/or a stiffness or equivalent.

Abstract: An image analysis apparatus includes: a distribution data generator that generates, on the basis of a sample image obtained by irradiating a biological tissue with light having an infrared bandwidth, distribution data indicating a distribution of light intensity in the infrared bandwidth in the tissue; a differential calculator that calculates, on the basis of the distribution data, an Nth-order derivative of the distribution of the light intensity in a first wavelength band in the infrared bandwidth, where N is an integer of 2 or more, for each region in the sample image; and an image data generator that converts the Nth-order derivative into a gray-scale value to generate image data.

Abstract: A medical skin examination device configured to diagnose a skin lesion includes: a first storage unit configured to store an original first skin image related to a dermoscopy structure imaged via a dermoscope; an image conversion unit configured to apply High Dynamic Range (HDR) conversion processing to the first skin image and obtain a second skin image in which the dermoscopy structure is made clear and salient; a second storage unit configured to store the second skin image; and a display control unit configured execute control so as to display at least one of the first skin image and the second skin image.

Abstract: A method comprising using at least one hardware processor for computing a patch distinctiveness score for each of multiple patches of a medical image, computing a shape distinctiveness score for each of multiple regions of the medical image, and computing a saliency map of the medical image, by combining the patch distinctiveness score and the shape distinctiveness score.

Abstract: Position/orientation information that indicates the position and orientation of an image sensing device is estimated on the basis of three-dimensional position information of a registered feature and a feature in a frame image captured by the image sensing device. Three-dimensional position information of an unregistered feature is generated on the basis of the estimated position/orientation information, and the generated three-dimensional position information is registered. The generation and registration of the three-dimensional position information of the unregistered feature are controlled in accordance with execution of the estimation.

Abstract: An electronic device for generating a corrected depth map is described. The electronic device includes a processor. The processor is configured to obtain a first depth map. The first depth map includes first depth information of a first portion of a scene sampled by the depth sensor at a first sampling. The processor is also configured to obtain a second depth map. The second depth map includes second depth information of a second portion of the scene sampled by the depth sensor at a second sampling. The processor is additionally configured to obtain displacement information indicative of a displacement of the depth sensor between the first sampling and the second sampling. The processor is also configured to generate a corrected depth map by correcting erroneous depth information based on the first depth information, the second depth information, and the displacement information.

Abstract: The multi-aperture camera system includes a first aperture receiving an RGB optical signal, a second aperture distinguished from the first aperture and receiving an optical signal of which a wavelength is different from that of the RGB optical signal, an image sensor, a plurality of frame buffers, wherein the first and second images are respectively stored in the frame buffers, and a scan line-based processor unit (SPU) processing the first and second images using a scan line processing technique to determine a depth at at least one pixel of the first and second images. The first aperture and the second aperture are formed on a single optical system so as to be offset in a horizontal direction of the image sensor and thus have center positions deviated from each other.

Abstract: Image processing methods and apparatus are disclosed. Various illustrative methods may include or involve aspects such as: obtaining an edge feature image of a logo area image; when the edge feature image of the logo area image has a first interval point, removing edge points on the right side of the first interval point; and when the edge feature image of the logo area image has a second interval point, removing edge points below the second interval point. Implementations herein, for example, may be used to process logos having an interval between an icon part and a character part, where the icon part is internally continuous and the character part is generally below or on the right side of the icon part, such that the character part in the logo may be removed quickly and accurately by image processing functionality herein.

Abstract: A body contouring aid for use in medical scan imaging such as CT simulation scanning, and methods of using the aid are disclosed. The aid includes a reference pattern defined by at least partially radiopaque indicia material applied to a substrate. The substrate is applied to a patent's body in a portion of the body that extends beyond the CT simulator's scan field of view (sFOB) but remain within the simulator's extended field of view (eFOV). A medical scan image generated by a CT simulator show a visualization of both the patient's internal anatomy and reference marks that correlate to the at least partially radiopaque indicia from the body contouring aid. The reference marks are used to create an accurate delineation of that portion of the patient's body that is in the eFOV so that an accurate source-to-surface distance may be determined for accurate radiation treatment.

Abstract: Disclosed herein is an image processing device including a background model creation section adapted to create a plurality of background models based on statistical distribution of a plurality of image frame sets, the image frame sets differing in length of time, and each of the image frame sets including a plurality of input frames; and a background image creation section adapted to create a background image by referring to the plurality of background models.

Abstract: The present invention relates to a method for the segmentation and visualization of cell envelopes. A method is provided for the segmentation and visualization of cavities or orifices of the human body, comprising the steps of manual pre-segmentation of cells by defining enclosing geometric primitives in a 3D patient image for generating initial cell envelopes; analysing the cell anatomy within pre-segmented geometric primitives; using the result of the analysis for adjustment of the cell envelope and visualising the cell envelopes.

Abstract: Disclosed are an object tracking method and an object tracking apparatus performing the object tracking method. The object tracking method may include extracting locations of objects in an object search area using a global camera, identifying an interest object selected by a user from the objects, and determining an error in tracking the identified interest object and correcting the determined error.

Abstract: An object matching method is applied to a camera system with an object matching function. The object matching method includes detecting a moving object within overlapped monitoring areas of two image capturing units to generate a first coordinate point and a second coordinate point respectively upon a first coordinate system and a second coordinate system, calculating at least one transforming parameter of the first coordinate system relative to the second coordinate system, acquiring a reliability level according to a comparison result between the transforming parameter and a threshold, determining a final transform parameter by the reliability level, utilizing the final transform parameter to transform the first coordinate point into a third coordinate point upon the second coordinate system, and determining whether the first coordinate point and the second coordinate point indicate the same object by difference between the third coordinate point and the second coordinate point.

Abstract: A non-transitory computer-readable storage medium storing an evaluation program that causes a computer to execute a process, the process comprising obtaining a captured image captured by an imaging device, displaying the plurality captured images on a display device and displaying a display that indicates a separation between a plurality of set areas set in the captured image while superimposing on the captured image, and detecting timings at which each of a plurality of persons beat rhythm by analyzing the captured images, each of the plurality of persons being included in each of the plurality of set areas.

Abstract: [Object] To provide an image processing apparatus, an image processing method, and a program with which an output image group, that makes people feel that an object is moving appropriately, can be generated for each processing unit of an input image. [Solving Means] According to an embodiment of the present technology, there is provided an image processing apparatus including a control amount regulation unit and a filter generation unit. The control amount regulation unit specifies, based on image information of an input image including a plurality of processing units, a control amount of a movement to be sensed for each of the processing units. The filter generation unit generates, for each of the processing units, a plurality of space filters with which an output image group, that causes the movement to be sensed, can be generated from the input image based on the specified control amount.

Abstract: Provided is an image processing apparatus (2000) including an index value calculation unit (2020) and a presentation unit (2040). The index value calculation unit (2020) acquires a plurality of images captured by a camera (3000) (captured images), and calculates an index value indicating the degree of change in the state of a monitoring target in the captured image, using the acquired captured image. The presentation unit (2040) presents an indication based on the index value calculated by the index value calculation unit (2020) on the captured image captured by the camera (3000).

Abstract: Various embodiments of the present invention relate generally to systems and processes for interpolating images of an object. According to particular embodiments, a sequence of images is obtained using a camera which captures the sequence of images along a camera translation. Each image contains at least a portion of overlapping subject matter. A plurality of keypoints is identified on a first image of the sequence of images. Each keypoint from the first image are kept track of to a second image. Using a predetermined algorithm, a plurality of transformations are computed using two randomly sampled keypoint correspondences, each of which includes a keypoint on the first image and a corresponding keypoint on the second image. An optimal subset of transformations is determined from the plurality of transformations based on predetermined criteria, and transformation parameters corresponding to the optimal subset of transformations is calculated and stored for on-the-fly interpolation.

Abstract: The invention relates to an imaging device (10) for registration of different imaging modalities, an imaging system (1) for registration of different imaging modalities, a method for registration of different imaging modalities, a computer program element for controlling such device and a computer readable medium having stored such computer program element. The imaging system (1) for registration of different imaging modalities comprises a first imaging modality (2), a second imaging modality (3), and an imaging device (10) for registration of different imaging modalities. The imaging device (10) for registration of different imaging modalities comprises a model provision unit (11), a first image data provision unit (12), a processing unit (13), a second image data provision unit (14), and a registration unit (15). The model provision unit (11) provides a cavity model of a visceral cavity. The first showing a region of interest of a patient by the first imaging modality (2).

Abstract: The present disclosure provides a method, portable device, and system for detecting physiological phenotype of crops, which determines a digital color chart according to the distance between a designated crop and the portable device and the present environmental brightness, and then determines that the appearance color of the designated crop belongs to which control color information of the selected digital color chart. It can avoid causing the error result because of the influence of the subjective determination and the environmental light. Therefore, the selected control color information may correspond to physiology information of the designated crop, to provide farmers with an understanding the present physiological phenotype of the designated crop.

Abstract: A cross-section data generating device includes a storage that stores therein a three-dimensional polygon model provided with color information, and a processor that executes a program to perform a shape obtaining process of obtaining a shape of an outline of the three-dimensional polygon model at a cross section that intersects the three-dimensional polygon model, and a color information obtaining process of obtaining color information of the outline at the cross section.

Abstract: Techniques are disclosed for generating a low-dimensional representation of an image. An image driver receives an image captured by a camera. The image includes features based on pixel values in the image, and each feature describes the image in one or more image regions. The image driver generates, for each of the plurality of features, a feature vector that includes values for that feature corresponding to at least one of the image regions. Each value indicates a degree that the feature is present in the image region. The image driver generates a sample vector from each of the feature vectors. The sample vector includes each of the values included in the generated feature vectors.

Abstract: Example methods provided herein generate and employ three-dimensional (3D) reconstructed images of process equipment or areas within various environments in which combustion processes take places. These three-dimensional images are generated with data provided from imaging devices. The imaging devices are disposed or positioned at multiple vantage points, and in various ways, to monitor process equipment in the environment.

Abstract: The present disclosure relates to a method of sampling pixels of an image. The method includes: determining a target area on the image; and sampling pixels from the target area, comprising: sorting background pixels based on a first spectral feature and divide them into a first number of groups; sorting target pixels based on a second spectral feature and divide them into a second number of groups; sampling background pixels from each of the first number of groups; and sampling target pixels from each of the second number of groups.

Abstract: This present disclosure relates to systems and processes for capturing an unstructured light field in a plurality of images. In particular embodiments, a plurality of keypoints are identified on a first keyframe in a plurality of captured images. A first convex hull is computed from all keypoints in the first keyframe and merged with previous convex hulls corresponding to previous keyframes to form a convex hull union. Each keypoint is tracked from the first keyframe to a second image. The second image is adjusted to compensate for camera rotation during capture, and a second convex hull is computed from all keypoints in the second image. If the overlapping region between the second convex hull and the convex hull union is equal to, or less than, a predetermined size, the second image is designated as a new keyframe, and the convex hull union is augmented with the second convex hull.

Abstract: A method for an automated detection of swallowed capsules on X-ray scanner images, the method including (a) based on a first image of a person, generating additional images by performing transformations of the first image; (b) calculating a position of a stomach area in the first image and on the additional images; (c) identifying rotationally invariant periodic features in windows of the stomach area; (d) calculating aggregate features for the windows based on the rotationally invariant periodic features; and (e) informing a user that the first image contains the swallowed capsules if a dissimilarity function for the aggregate features for the first image, relative to images that do not contain swallowed capsules, is larger than a predefined threshold. Optionally, the method includes segmenting the stomach area prior to identifying rotationally invariant periodic features.

Abstract: A mobile device case or cover can include a distance marker for distance measurement. A mobile device coupled with the case may include a measurement application or module that can acquire video or still images of the distance marker. The measurement application can calculate a distance to the distance marker based on a captured image of the distance marker in the video or still images. The mobile device case can include a pocket, slot, or storage compartment for storing the distance marker.

Abstract: A color identifying system, a color identifying method and a display device are provided. The color identifying system comprises an image acquiring unit, a color analyzing unit and an information output unit; the image acquiring unit is configured to acquire an image of an object to be identified; the color analyzing unit is configured to extract profiles of the pattern regions of the object to be identified, and analyze colors of the pattern regions, to determine overall color information of the object to be identified; and the information output unit is configured to output the overall color information of the object to be identified. The color identifying system can help a color vision defective person to identify color of an object, which is greatly convenient to production and life of the color vision defective person, and thus significantly improving quality of life of the color vision defective person.