Abstract: The present technology relates to an information processing apparatus, an information processing method, and a program capable of checking a plurality of types of analysis results regarding one skin condition item intuitively and easily. The information processing apparatus according to one aspect of the present technology includes an acquisition unit configured to obtain information representing a plurality of types of analysis results on skin conditions obtained by analyzing an image of a skin at a same position, and a presentation unit configured to simultaneously display, on a same image, a plurality of types of visualized information obtained from visual representation of the plurality of types of analysis results. The present technology is applicable to a mobile terminal used together with a skin measurement instrument that photographs a skin image.

Abstract: The present invention relates to digital pathology. In order to improve the workflow in the process of selecting a region of interest of an unstained sample to be removed for molecular diagnostic, a method (100) is provided for selecting a sample removing area of an unstained sample to be removed for molecular diagnostic. The method comprises the following steps: In a first step 102, also referred to as step a), a reference removing area is selected in a reference image of a reference slice of an object, wherein biological material in the reference slice is stained. In a second step 104, also referred to as step b), a digital sample image of a sample slice of the object is obtained under an imaging setting. The biological material in the sample slice is unstained. The sample slice is received on a sample slide and positioned in an optical path between a light source and an image detector.

Abstract: The present disclosure is directed to face detection window refinement using depth. Existing face detection systems may perform face detection by analyzing portions of visual data such as an image, video, etc. identified by sub-windows. These sub-windows are now determined only based on pixels, and thus may number in the millions. Consistent with the present disclosure, at least depth data may be utilized to refine the size and appropriateness of sub-windows that identify portions of the visual data to analyze during face detection, which may substantially reduce the number of sub-windows to be analyzed, the total data processing burden, etc. For example, at least one device may comprise user interface circuitry including capture circuitry to capture both visual data and depth data. Face detection circuitry in the at least one device may refine face detection by determining criteria for configuring the sub-windows that will be used in face detection.

Abstract: An apparatus is configured to determine an illumination condition for irradiating a printed product with light. The printed product is generated by outputting an image onto a recording medium based on fed input image data. The apparatus includes an input unit configured to receive inputs of luminance dynamic range information of the input image data and exposure condition information at the time of imaging regarding the input image data, an acquisition unit configured to acquire characteristic information of the recording medium, and a determination unit configured to determine the illumination condition based on the luminance dynamic range information, the exposure condition information, and the characteristic information.

Abstract: Disclosed is a method for determining, among other things, the temperature profile of a medical implant in a patient when subjected to an MRI scan or machine, thus enabling a determination of the risk of temperature induced tissue necrosis or damage to the implant. The specific position of the implant in the patient changes the temperature dispersion in the body and is accounted for in the creation of the temperature profile. The method includes mapping with an imaging unit location, size and orientation of the medical implant in a patient, and storing the location, size and orientation in a mapped data. Then, translating the data to a model patient of gender, age, weight, height, and body structure of the patient with a model medical implant. Further, determining the parameters of an MRI unit to be used and computing the temperature profile of the implant to ascertain temperature impact.

Abstract: An image inspection apparatus includes: an imaging section for capturing an image of a workpiece from a certain direction; an illumination section for illuminating the workpiece from different directions at least three times; an illumination controlling section for sequentially turning on the illumination sections one by one; an imaging generating section for driving the imaging section to generate a plurality of images; a normal vector calculating section for calculating a normal vector with respect to the surface of the workpiece at each of pixels by use of a pixel value of each of pixels having a corresponding relation among the plurality of images; and a contour image generating section for performing differential processing in an X-direction and a Y-direction on the calculated normal vector at each of the pixels, to generate a contour image that shows a contour of inclination of the surface of the workpiece.

Abstract: In the image processing device, the method and the recording medium according to the present invention, the characteristic information extractor extracts the number of times the same subject appears in the still images. The target object detector detects the target subject which appears the number of times not less than the threshold value. The image analysis condition determiner sets the image analysis condition for the portion of the moving image where the target subject is absent to be rougher than that where the target subject is present. The frame image analyzer extracts frame images from the moving image in accordance with the image analysis condition. The frame image output section calculates the evaluation value of the frame images based on the result of the image analysis and output the frame image having the evaluation value not less than the threshold value.

Abstract: A blood flow analysis device includes a blood vessel region extraction unit that extracts a blood vessel region from a three-dimensional medical image of a subject including a blood vessel, and a blood flow simulation unit that obtains a line resistance by multiplying a resistance value corresponding to a branch blood vessel branching out of the blood vessel region by a surface area of each of preset sections into which the blood vessel region is divided in an extension direction, generates a vascular network model by applying the line resistance to each node of a surface of the blood vessel region, and performs simulation of a blood flow by using the vascular network model.

Abstract: The present invention is to provide a computer system, and a method and a program for diagnosing an object that is capable to improve the diagnosis accuracy of an object. The computer system acquires a visible light image of an object that is taken by a camera, analyzes the acquired visible light image by comparing the acquired visible light image with a normal visible light image of the object, identifies the type of the object based on the result of the image analysis, identifies an abnormal part of the object based on the result of the image analysis, acquires environment data of the object, and diagnoses the status of the object based on the identified type, the identified abnormal part, and the acquired environment data.

Abstract: A virtual encounter system includes a mannequin coupled to a camera for receiving a video image. The camera sends the video image to a communications network. The virtual encounter system also includes a processor for overlaying a virtual environment over one or more portions of the video image to form a virtual scene and a set of goggles to render the virtual scene.

Abstract: There is provided a fast and a reliable way to inspect a condition of a chain by an arrangement comprising a camera and guide for positioning a chain in front of the camera such that holes of consecutive chain links are visible to the camera. In a method for inspecting a chain connected movable to a hoisting device, the chain is positioned in front of the camera by the guide and the chain is driven past the camera by the hoisting device.

Abstract: A network apparatus system and method of use adapted for viewing, illustrating, consulting and collaborating on medical images and saving images and illustrations in acceptable DICOM format. Specifically, a Consultant Client or a plurality of Consultant Clients having the capability to view still and streaming video medical images, then illustrating over those images with the ability to save those images. In the present invention the illustration images automatically fading and disappearing after a preset predetermined amount of time, without user input. Also a Collaborator Client, a person user or a plurality of Collaborator Clients having the ability to remotely view streaming or still medical images and illustrating over those images. The Collaborator Clients can draw, telestrate and annotate over those images with the ability to save those images and videos, and save the drawings, telestrations and annotations provided these input illustrations are visible when saved.

Abstract: Methods and systems for suppressing shadowgraphic flow projection artifacts in OCT angiography images of a sample are disclosed. In one example approach, normalized OCT angiography data is analyzed at the level of individual A-scans to classify signals as either flow or projection artifact. This classification information is then used to suppress projection artifacts in the three dimensional OCT angiography dataset.

Abstract: Techniques are provided for color correction of image frames, received from a hybrid RGBIR sensor, using resolution recovery of the red, green, blue (RGB), and infra-red (IR) channels. The color correction is to compensate for IR contamination of the RGB channels. A methodology implementing the techniques according to an embodiment includes a demosaic operation on the RGBIR image frame to generate full resolution red, green, blue, and IR frames. The demosaic operation includes filtering to extract Chroma and Luma components of the RGBIR image to reconstruct the full resolution images. The method also includes calculating an IR weighting factor for the pixels of each of the full resolution RGB frames, and correcting for IR contamination of those pixels by subtracting a scaled value of the corresponding pixels from the full resolution IR frame. The scaled value is based on the IR weighting factor associated with the pixel to be corrected.

Abstract: Systems of the present disclosure allow fields and labels to be identified in a digital image of a form without performing OCR. A digital image of a form can be partitioned into image segments using computer-vision image-segmentation techniques. Features for each image segment can be extracted using computer-vision feature-detection methods. The features extracted from an image segment can be included in an input instance for a machine-learning model. The machine-learning model can assign a classification to the input instance. The classification can associate the input instance with a field type or a label type.

Abstract: A method, system and computer program product are disclosed for tagging a resource. In one embodiment, the method comprises receiving a given number of unique electronic tags for tagging a specified resource; for a harvested one of the specified resources, generating image data representing an image of the harvested resource, and selecting one of the electronic tags for the harvested resource; and sending the image data and data identifying the selected electronic tag to a specified entity to register the harvested resource. In an embodiment, the given number of unique physical tags are generated for the specified resource, and the generated image data include data representing one of the physical tags. In an embodiment, a mobile computing device is used to receive the electronic tags, to generate the image data, and to transmit the image data to the specified entity.

Abstract: Image interpolation methods for interpolating a destination pixel of a destination image by using a plurality of source pixels of a source image are provided. The method includes the steps of: selecting the plurality of source pixels from the source image corresponding to the destination pixel; obtaining a gradient direction and a gradient magnitude according to the plurality o source pixels; determining a weight corresponding to each of the plurality of source pixels according to the gradient direction and the gradient magnitude; and performing an interpolation operation according to pixel values of the plurality of source pixels and the weight corresponding to each of the plurality of source pixels to obtain a pixel value of the destination pixel.

Abstract: The present invention relates to an image processing device and method enabling noise removal to be performed according to images and bit rates. A low-pass filter setting unit 93 sets, from filter coefficients stored in a built-in filter coefficient memory 94, a filter coefficient corresponding to intra prediction mode information and a quantization parameter. A neighboring image setting unit 81 uses the filter coefficient set by the low-pass filter setting unit 93 to subject neighboring pixel values of a current block from frame memory 72 to filtering processing. A prediction image generating unit 82 performs intra prediction using the neighboring pixel values subjected to filtering processing, from the neighboring image setting unit 81, and generates a prediction image. The present invention can be applied to an image encoding device which encodes with the H.264/AVC format, for example.

Abstract: An imaging device including a pixel matrix and a processor is provided. The pixel matrix includes a plurality of phase detection pixels and a plurality of regular pixels. The processor performs autofocusing according to pixel data of the phase detection pixels, and determines an operating resolution of the regular pixels according to autofocused pixel data of the phase detection pixels, wherein the phase detection pixels are always-on pixels and the regular pixels are selectively turned on after the autofocusing is accomplished.

Abstract: Disclosed are a training method and apparatus for a CNN model, which belong to the field of image recognition. The method comprises: performing a convolution operation, maximal pooling operation and horizontal pooling operation on training images, respectively, to obtain second feature images; determining feature vectors according to the second feature images; processing the feature vectors to obtain category probability vectors; according to the category probability vectors and an initial category, calculating a category error; based on the category error, adjusting model parameters; based on the adjusted model parameters, continuing the model parameters adjusting process, and using the model parameters when the number of iteration times reaches a pre-set number of times as the model parameters for the well-trained CNN model. After the convolution operation and maximal pooling operation on the training images on each level of convolution layer, a horizontal pooling operation is performed.