A method implemented by a transmission device to communicate with multiple reception devices that respectively share a drawing area with the transmission device is provided. The transmission device transmits to the multiple reception devices vector-data ink data representative of traces of input operation detected by an input sensor of the transmission device. The method includes: (a) an ink data generation step of generating fragmented data of a stroke object, wherein the stroke object contains multiple point objects to represent a trace formed by a pointer, the fragmented data being generated per defined unit T, and generating a drawing style object; (b) a message formation step of generating messages including the drawing style object and the fragmented data; and (c) a transmission step of transmitting the messages.

Disclosed is an image quality evaluation method for a digital pathology system according to the present invention. The image quality evaluation method includes receiving a digital slide image by an image quality evaluation unit; dividing the digital slide image into a plurality of blocks by the image quality evaluation unit; analyzing the plurality of blocks to extract a foreground; calculating a blur for the extracted foreground; calculating brightness distortion for the extracted foreground; calculating contrast distortion for the extracted foreground; and evaluating the overall quality of the digital slide image using the blur, the brightness distortion, and the contrast distortion by the image quality evaluation unit.

The present invention includes computer vision based driver assistance devices, systems, methods and associated computer executable code (hereinafter collectively referred to as: “ADAS”). According to some embodiments, an ADAS may include one or more fixed image/video sensors and one or more adjustable or otherwise movable image/video sensors, characterized by different dimensions of fields of view. According to some embodiments of the present invention, an ADAS may include improved image processing. According to some embodiments, an ADAS may also include one or more sensors adapted to monitor/sense an interior of the vehicle and/or the persons within. An ADAS may include one or more sensors adapted to detect parameters relating to the driver of the vehicle and processing circuitry adapted to assess mental conditions/alertness of the driver and directions of driver gaze. These may be used to modify ADAS operation/thresholds.

A normal vector or a curvature at each of a plurality of vertexes that are included in data relating to an oral cavity shape including a tooth crown shape of at least one tooth and define the oral cavity shape is acquired. Then, a vertex group that defines the tooth crown shape of the at least one tooth is extracted from the plurality of vertexes based on the acquired normal vectors or curvatures. Further, the extracted vertex group is outputted as tooth crown shape information that specifies a tooth crown portion in the oral cavity shape. Consequently, automatic construction of a database for a tooth crown shape can be implemented.

Systems and methods for detecting the cracks in illuminated electronic device screens are disclosed. In one embodiment, the method includes receiving an image of an electronic device screen and retrieving a plurality of kernels, each having values corresponding to a line region and a non-line region, with the orientation of the line region and the non-line region differing for each kernel. At least some of the kernels are applied to the image to obtain, at various locations of the image, values corresponding to the line regions and the non-line regions. Based on the values corresponding to the line regions and the non-line regions, cracks are automatically identified in the electronic device screen.

The image processing apparatus includes a calculator configured to calculate, using luminance values of one or more input images produced by photoelectric conversion of multiple polarized lights whose polarization angles are mutually different, an angle-dependent component at a specific polarization angle among angle-dependent components that are luminance components changing depending on the polarization angle. The apparatus further includes a producer configured to produce an output image using the angle-dependent component at the specific polarization angle.

The present disclosure relates to systems and methods for classifying videos based on video content. For a given video file including a plurality of frames, a subset of frames is extracted for processing. Frames that are too dark, blurry, or otherwise poor classification candidates are discarded from the subset. Generally, material classification scores that describe type of material content likely included in each frame are calculated for the remaining frames in the subset. The material classification scores are used to generate material arrangement vectors that represent the spatial arrangement of material content in each frame. The material arrangement vectors are subsequently classified to generate a scene classification score vector for each frame. The scene classification results are averaged (or otherwise processed) across all frames in the subset to associate the video file with one or more predefined scene categories related to overall types of scene content of the video file.

Methods and apparatuses for analyzing digital pathology images are provided. The methods and apparatuses may provide estimates of staining intensity and proportion score in regions of interest within an image. Digital pathology images may be scored according to these metrics. The methods and apparatuses disclosed herein utilize various predetermined thresholds, parameters, and models to increase efficiency and permit accurate estimation of characteristics of a stained tissue sample.

Structure aware image denoising and noise variance estimation techniques are described. In one or more implementations, structure-aware denoising is described which may take into account a structure of patches as part of the denoising operations. This may be used to select one or more reference patches for a pixel based on a structure of the patch, may be used to compute weights for patches that are to be used to denoised a pixel based on similarity of the patches, and so on. Additionally, implementations are described to estimate noise variance in an image using a map of patches of an image to identify regions having pixels having a variance that is below a threshold. The patches from the one or more regions may then be used to estimate noise variance for the image.

The present invention provides a device and a method for image reconstruction at different X-ray energies that make it possible to achieve image reconstruction with higher accuracy. A device for image reconstruction at different X-ray energies includes: an X-ray source 1 that irradiates a specimen to be imaged 2 with X-rays; an energy-dispersive detector 4 that detects a characteristic X-ray emitted from the specimen to be imaged 2; a signal processing means that quantifies the peak of the characteristic X-ray detected by the detector 4; and an image reconstruction means that reconstructs an image on the basis of a signal from the signal processing means.