Abstract: An electronic apparatus includes a memory configured to store a predetermined conversion relation, and a processor configured to obtain first luminance information indicating luminance values of respective pixels included in a first image, and obtain first color information indicating color values of the respective pixels, obtain a first cumulative distribution function indicating a relation between a cumulative pixel count and each luminance level based on the first luminance information, obtain a second cumulative distribution function by applying the predetermined conversion relation to the first cumulative distribution function, calculate second luminance information indicating converted luminance values of the respective pixels by using the first cumulative distribution function and the second cumulative distribution function, and generate a second image based on the first color information and the second luminance information.

Abstract: A method and apparatus for image coding using hierarchical sample adaptive band offset. The method includes decoding a signal of a portion of an image, determining a band offset type and offset of a portion of the image, utilizing the band offset type and offset to determine a sub-band, and reconstructing a pixel value according to the determined offset value.

Abstract: An X-ray inspection system includes at least one display monitor and a console. The console includes at least two different visualization algorithms and a processor. The processor is configured to process volumetric image data with a first of the at least two different visualization algorithms and produce a first processed volumetric image. The processor is further configured to process the volumetric image data with a second of the at least two different visualization algorithms and produce a second processed volumetric image. The processor is further configured to concurrently display the first and second processed volumetric image data via the display monitor. The volumetric image data is indicative of a scanned object and items therein.

Abstract: Systems, and method and computer readable media that store instructions for calculating signatures, utilizing signatures and the like.

Abstract: Methods and systems that detect and define virtual objects in remote screens which do not expose objects. This permits simple and reliable automation of existing applications. In certain aspects a method for detecting objects from an application program that are displayed on a computer screen is disclosed. An image displayed on the computer screen is captured. The image is analyzed to identify blobs in the image. The identified blobs are filtered to identify a set of actionable objects within the image. Optical character recognition is performed on the image to detect text fields in the image. Each actionable object is linked to a text field positioned closest to a left or top side of the actionable object. The system automatically detects the virtual objects and links each actionable object such as textboxes, buttons, checkboxes, etc. to the nearest label object.

Abstract: A system for identifying products in a retail store is provided. The system may include a processor configured to: receive an image depicting a store shelf and a product displayed thereon; select a product model subset based on a characteristic of the store shelf determined based on analysis of the image; determine whether the product model subset is applicable to the product; and when the product model subset is applicable to the product, analyze a representation of the product depicted in the image using the product model subset, and identify the product based on the analysis of the representation of the product.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for eye gesture recognition. In one aspect, a method includes obtaining an electrical signal that represents a measurement, by a photodetector, of an optical signal reflected from an eye and determining a depth map of the eye based on phase differences between the electrical signal generated by the photodetector and a reference signal. Further, the method includes determining gaze information that represents a gaze of the eye based on the depth map and providing output data representing the gaze information.

Abstract: Median filtering of images is described using a directed search. In one example a method includes sliding a first window to a second position on an image to generate a second window where the first window overlaps the second window, determining a second histogram of pixel values by extracting a set of pixels from the first histogram and adding a set of pixels to the first histogram so that the second histogram has only pixels within the second window, determining a second median value of the pixel values using the second histogram by searching pixel values of the second histogram for the median starting at the median value of the first histogram, and repeating sliding the window determining a histogram and determining a median value until a complete median set of an area of interest of the image is determined.

Abstract: Techniques of detecting edges of objects in images include applying an adaptive threshold to a sigmoidal membership function of a fuzzy gradient of the image brightness. For example, when a computer configured to detect edges of an object of an image receives a grayscale image, the computer computes gradients of the image brightness at each pixel to form a gradient matrix. The computer then creates a fuzzy gradient matrix by applying a sigmoidal membership function to each element of the gradient matrix to form a smoothed gradient matrix. The computer then performs an adaptive threshold operation on the smoothed gradient matrix to produce the edges of the object of the image.

Abstract: A substrate position detection device includes: an irradiator that irradiates a predetermined range of a substrate with a predetermined light; an imager that takes an image of the predetermined range of the substrate irradiated with the predetermined light; a moving mechanism that causes a relative movement of the imager and the substrate; and a controller that: detects a position of the substrate by sequentially executing to a plurality of recognition objects on the substrate: a moving process of relatively moving the imager to a position corresponding to a predetermined recognition object among the plurality of recognition objects on the substrate; an imaging process of taking an image of the predetermined recognition object under a predetermined imaging condition; and a recognition process of recognizing the predetermined recognition object based on image data obtained by the imaging process.

Abstract: Techniques for automating the generation and analysis of fundus drawings are described. Captured images undergo image processing to extract information about image features. Fundus images are generated and recommended labels for the fundus drawing are generated. Fundus drawings can be analyzed and undergo textual processing to extract existing labels. Machine learning models and co-occurrence analysis can be applied to collections of fundus images and drawings to gather information about commonly associated labels, label locations, and user information. The most frequently used labels associated with the image can be identified to improve recommendations and personalize labels.

Abstract: A cloud device, a terminal device, and an image classification system and method includes the terminal reading an image to be classified; transmitting an instruction of image classification to the cloud device; determining whether the instruction of image classification comprises an intermediate operation result of the first partial operation; performing the second partial operation to obtain an image classification result, when the instruction of image classification comprises intermediate operation result of the first partial operation; and transmitting the image classification result to the terminal device; performing the first partial operation to obtain the intermediate operation result, when the intermediate operation result is not contained in the instruction of image classification; transmitting the intermediate operation result to the terminal device; and performing the second partial operation to obtain an image classification result.

Abstract: A mobile terminal includes a display unit configured to display an image and comprising an OLED pixel module emitting light and a light non-transmitting layer formed therebelow; a fingerprint recognition sensor configured to recognize a fingerprint by receiving, when the light emitted from the OLED pixel module is reflected by a finger, the reflected light; a sensor insertion space formed by perforating a part of the light non-transmitting layer, the fingerprint recognition sensor being inserted into the sensor insertion space; and a force sensor disposed at a side surface of the fingerprint recognition sensor and configured to measure a magnitude of pressure applied to the force sensor.

Abstract: A method to automate detection of a vehicle light degradation or failure includes generating a distinct pattern to be executed by at least one vehicle light, and sending a command to a light control module operative to cause the at least one vehicle light to emit the distinct pattern. The method continues with extracting features from camera images of the distinct pattern emitted by the at least one vehicle light, and then comparing the features extracted from the camera images with features from the commanded distinct pattern to determine degradation or failure of the at least one vehicle light's state of health.

Abstract: A method of planning an image-guided interventional procedure to be performed on a patient, where expected motion of the patient, such as that of a breathing cycle, is determined on a sequence of preoperative images, and the procedure trajectory is planned accordingly. The method takes into account the initial positions of the interventional entry, the target region, and any obstructions or forbidden regions between the entry point and the target region, and uses object tracking methods of image processing on the preoperative images to determine how the positions of these three elements change relative to each other during the patient's motion cycle. The method may automatically search in at least some of the preoperative images taken at different temporal points of the motion cycle, for a path connecting the entry point with the target and avoiding the obstacles, which provides minimal lateral pressure on the patient's tissues.

Abstract: Disclosed is a mobile terminal including a display unit configured to display an image and including an OLED pixel module emitting light and a light non-transmitting layer formed therebelow, a fingerprint recognition sensor configured to recognize a user fingerprint by receiving, when the light emitted from the OLED pixel module is reflected by a user finger, the reflected light, a sensor insertion space formed by perforating a part of the light non-transmitting layer, the fingerprint recognition sensor being inserted into the sensor insertion space, and a force sensor disposed to surround a side surface of the fingerprint recognition sensor and to provide haptic feedback when pressure is applied to the force sensor.

Abstract: A method is disclosed for determining result data based upon medical measurement data of an examination object. Within the method, a high-dimensional first parameter space is formed, in which measurement values of the various measurements are represented with the aid of value tuples. The measurement values of the various measurements are assigned to a value tuple based on their spatial arrangement in the examination object and/or on their temporal arrangement relative to one another. In the first parameter space, the value tuples are analyzed, using at least one mapping function to at least one further parameter space including a lower dimension than the first parameter space, in order to obtain result data. Furthermore, the result data is output, preferably visualized. In addition, a corresponding device for determining result data is described.

Abstract: A lossy method of compressing data, such as image data, which uses wrap-around wavelet compression is described. Each data value is divided into two parts and the first parts, which comprise the most significant bits from the data values, are compressed using wrap-around wavelet compression. Depending upon the target compression ratio and the compression ratio achieved by compressing just the first parts, none, one or more bits from the second parts, or from a data value derived from the second parts, may be appended to the compressed first parts. The method described may be lossy or may be lossless. A corresponding decompression method is also described.

Abstract: A method for classifying physical objects includes: controlling, by a processor, one or more depth cameras to capture depth images of a query object; controlling, by the processor, one or more color cameras to capture a color images of the query object; computing, by the processor, a three-dimensional (3D) model of the query object using the depth images; combining, by the processor, the color images with the 3D model; computing, by the processor, a descriptor from the 3D model and the color images, the descriptor including: a multi-dimensional shape descriptor space representation of a 3D shape of the query object; a multi-dimensional color descriptor space representation of a texture of the query object; and a one-dimensional size descriptor space representation of a size of query object; supplying, by the processor, the descriptor to a classifier to compute a classification of the query object; and outputting the classification of the query object.

Abstract: A nondestructive coating inspection system to inspect a component without removal of a coating thereon, the system including an airflow source to directed heated or cooled air into the component; a sensor directed toward the component to generate an infrared radiation image data of component heated by the heated or cooled air; and a controller in communication with the sensor to register the current infrared radiation image data to at least one infrared reference image data to classify the component based on the comparing.