Abstract: Provided is an evaluation method capable of easily evaluating the inner circumference of a quartz crucible in a short time. The method of evaluating an inner circumference of a quartz crucible includes: a first step of imaging the inner circumference of the quartz crucible, thereby obtaining an image of the inner circumference; a second step of performing image processing on the image to obtain an edge image in which boundaries between cristobalite and glass are defined; a third step of extracting closed regions; a fourth step of performing arithmetic calculations on coordinate information of the boundaries, thereby obtaining calculated values; a fifth step of determining whether the closed regions are the cristobalite or the glass based on the calculated values; and a sixth step of compositing images in which closed regions are determined to be the cristobalite are overlaid, thereby obtaining a full image.

Abstract: A method includes: generating a refine image from an incorrect image from which an incorrect label is inferred by a neural network; generating a third map by superimposing a first map and a second map, the first map indicating pixels to each of which a change is made in generating the refine image, of plural pixels in the incorrect image, the second map indicating a degree of attention for each local region in the refine image, each local region being a region that has drawn attention at the time of inference by the neural network, and the third map indicating a degree of importance for each pixel for inferring a correct label; and obtaining an added value for respective divided region in the third map by summing pixel values within the respective divided region, the respective divided region being a region divided according to a predetermined index.

Abstract: A passenger state detection device (100) includes: a correction parameter setting unit (30) for setting a correction parameter for a captured image captured by a camera (2) for capturing a vehicle interior for each of detection items in passenger state detecting process including the multiple detection items using at least one of a feature amount in a face part area that corresponds to a passenger's face part in the captured image or a feature amount in a structure area that corresponds to a structure in the vehicle interior in the captured image; and an image correcting unit (40) for correcting the captured image for each of the detection items in the passenger state detecting process using the correction parameter set by the correction parameter setting unit (30).

Abstract: A system and for determining the presence or absence of myocardial ischemia in a subject, based upon analysis of medical images of at least one region of the heart of a subject of interest, the plurality of medical images being acquired in a consecutive manner by a medical imaging modality and being a plurality of myocardial layers in a direction which is generally perpendicular to the wall of the left ventricular myocardium.

Abstract: The present disclosure relates to a method and system for registering multi-modality images. The method may include: acquiring a first image relating to one or more reference objects; acquiring a second image relating to the one or more reference objects; determining a set of reference points based on the one or more reference objects; determining a set of mapping data corresponding to the set of reference points in the first image and the second image; and determining one or more registration parameters by comparing a plurality of back-projection errors generated in a plurality of iterations that are performed based on the set of mapping data.

Abstract: Methods and systems for analyzing images are disclosed. An example method may comprise inputting one or more of a first image or a second image into a fully convolutional network, and determining an updated fully convolutional network by optimizing a similarity metric associated with spatially transforming the first image to match the second image. The one or more values of the fully convolutional network may be adjusted to optimize the similarity metric. The method may comprise registering one or more of the first image or the second image based on the updated fully convolutional network.

Abstract: There is provided an image processing apparatus. An obtaining unit obtains image data having a first dynamic range, the image data having been applied with a predetermined tone curve, the predetermined tone curve being a tone curve representing visual characteristics based on a relationship between the first dynamic range and an absolute luminance that is output. A first compression unit compresses the image data from the first dynamic range to a second dynamic range narrower than the first dynamic range while maintaining the predetermined tone curve.

Abstract: An image processing apparatus, an image processing method, and an image processing program capable of creating an image product by extracting an image having a theme matching an interest and taste of a user are provided. A plurality of images are classified into a plurality of image groups using feature amounts of the images such that images having a similarity greater than or equal to a threshold are grouped. An image is extracted from the plurality of classified image groups. An album is created using the extracted image.

Abstract: The invention relates to a method for reducing image artifacts in images of a sample captured by scanning, wherein intensity values of at least two detection regions, denoted as pixels (Pxn), are captured along respectively one row (j) in a first scanning direction. A reconstructed image is produced on the basis of the captured intensity values. According to the invention, the intensity values of the reconstructed image are summed along the rows (j) respectively scanned by a certain pixel (Pxn) and a row sum is formed in each case. A correction value of the pixel (Pxn) is ascertained on the basis of the row sums formed thus and the correction value is applied to the intensity values, captured by means of the pixel (Pxn), of the reconstructed image, as a result of which a corrected image is obtained.

Abstract: A method is executed by an electronic device in a video streaming system including a macroblock detector. The method includes receiving a video stream from a video source, selecting a frame from the video stream, detecting edges in the frame of the video stream, generating straight lines from detected edges in the frame of the video stream, identifying squares in the straight lines in the frame with polygon approximation, and outputting an indication of a detected macroblock in the image in response to identifying at least one square with characteristics of a macroblock in the frame.

Abstract: A method of operating a vehicle including a cabin having a plurality of interior segments, includes generating image data for each interior segment of the plurality of interior segments with an imaging device located within the cabin. The method further includes processing the generated image data to generate score data including a plurality of scores with a controller operably connected to the imaging device, each score of the plurality of scores corresponding to one of the interior segments of the plurality of interior segments, and combining the generated scores into a single vehicle cleanliness score. The method also includes generating availability data indicating if the vehicle is available or unavailable based on a comparison of the cleanliness score to a cleanliness threshold, and removing the vehicle from service based on the availability data.

Abstract: Techniques and systems for component-based digital image synchronization are described. In one example, a digital image is stored as a composite file with a number of separately compressed individual components. Indicators are generated during an editing process of a digital image. The indicators are usable to correlate altered portions of the digital image with compressed components of the composite digital image file. The altered components are then communicated to a synchronization service for synchronization with a remote representation of the digital image file.

Abstract: An image processing apparatus, a method for image processing, and an electronic device are provided. The image processing apparatus includes a Hardware Abstract Layer (HAL), an application (APP) coupled with the HAL, and an Algo Process Service (APS). The HAL is configured to receive a RAW image, to convert the RAW image into a YUV image, and to transmit the RAW image and/or the YUV image to the APP. The APP is configured to transmit the RAW image and/or the YUV image to the APS. The APS is coupled with the HAL via the APP and stores at least one image processing algorithm for image post-processing, and the APS is configured to process, with the at least one image processing algorithm, the RAW image and/or the YUV image.

Abstract: Implementations described herein determine, for a given document generated by a given source, one or more portions of content (e.g., phrase(s), image(s), paragraph(s), etc.) of the given document that may be influenced by a source perspective of the given source. Further, implementations determine one or more additional resources that are related to the given source and that are related to the portion(s) of content of the given document. Yet further, implementations utilize the additional resource(s) to determine additional content that provides context for the portion(s) that may be influenced by a source perspective. A relationship, between the additional resource(s) and the portions of the given document, can be defined. Based on the relationship being defined, the additional content can be caused to be rendered at a client device in response to the client device accessing the given document.

Abstract: An image processing apparatus is disclosed. The present image processing apparatus comprises: a memory for storing a low dynamic range (LDR) image and a processor for adjusting the brightness of the LDR image by means of a pixel-specific brightness ratio identified using a first parameter, and acquiring a high dynamic range (HDR) image by adding or subtracting a pixel-specific correction value identified using a second parameter in the brightness-adjusted LDR image.

Abstract: A method of verifying an authenticity of a printed item includes: photographing the printed item to obtain a photographic image of the printed item, retrieving reference data of the printed item, the reference data including a reference image of the printed item, determining a test noise parameter from the photographic image of the printed item, determining a reference noise parameter from the reference image, comparing the test noise parameter of the photographic image of the printed item to the reference noise parameter of the reference image, and determining an authenticity of the printed item from a result of the comparing. The determining the authenticity of the printed item from the result of the comparing may include establishing from the reference noise parameter of the reference image and the test noise parameter of the printed item.

Abstract: Systems and methods are disclosed for receiving a target image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient, applying a machine learning model, which may also be known as a machine learning system, to the target image to determine at least one characteristic of the target specimen and/or at least one characteristic of the target image, the machine learning model having been generated by processing a plurality of training images to predict at least one characteristic, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the at least one characteristic of the target specimen and/or the at least one characteristic of the target image.

Abstract: One embodiment of the present invention sets forth a technique for evaluating labeled data. The technique includes selecting, from a set of labels for a data sample, a subset of the labels representing non-outliers in a distribution of values in the set of labels. The technique also includes aggregating the subset of the labels into a benchmark for the data sample. The technique further includes generating, based on a comparison between the benchmark and an additional label, a benchmark score associated with the data sample, and generating a set of performance metrics for labeling the data sample based on the benchmark score.

Abstract: The subject invention is a system of apparatus interconnected by communication with a computer system. The primary detect transceiver detects entities involved in a change of location event. The detection data is analyzed to provide current location of entities. That data may also be analyzed to create/confirm a digital identity of each entity. The current location is compared their prior location in relation to a designated event area and outputting a location and vector. Identity, location and vector are compared to a rule data set to determine whether the event should proceed under normal rules or modified rules. The output of the computer system includes a representation of the event region, event area, entities and current event operation condition to a human perceivable interface which may also accept commands altering the output. That output is further transmitted to event enunciators which in turn signal to the event entities whether to proceed under normal or modified rules.

Abstract: A fingerprint and proximity sensing apparatus for fingerprint recognizing and proximity sensing is provided. The fingerprint and proximity sensing apparatus includes a display panel, a fingerprint sensor, and at least one proximity sensing light emitting diode. The fingerprint sensor has an optical sensing array. The optical sensing array is configured to receive a first light emitted from the display panel and a second light emitted from the at least one proximity sensing light emitting diode at different time periods. The first light and the second light have different ranges of wave length. A sensing process is also provided.