Image generating system, image generation method, imaging element, and recording medium

    公开(公告)号:US10284797B2

    公开(公告)日:2019-05-07

    申请号:US15215790

    申请日:2016-07-21

    摘要: An image generating system according to an aspect of the present disclosure includes an image obtaining device, an image generating circuit, and an image processing circuit. The image obtaining device includes an illuminating system that irradiates an object included in a module in which the object and an imaging element are integrated together, with light sequentially from a plurality of different radiation directions. The image obtaining device obtains a plurality of images corresponding to the plurality of different radiation directions. The image generating circuit generates a high-resolution image of the object having a higher resolution than each of the plurality of images by combining the plurality of images together. The image processing circuit detects noise resulting from a foreign object located farther from an imaging surface of the imaging element than the object and removes the noise.

    Display control apparatus, display control method, and recording medium

    公开(公告)号:US10467750B2

    公开(公告)日:2019-11-05

    申请号:US16034426

    申请日:2018-07-13

    摘要: A display control apparatus includes a memory and a circuit. The circuit obtains an electrophoretic image from the memory, causes a display to display the electrophoretic image as a first display image, receives a selection of a first pixel in the electrophoretic image displayed on the display, obtains one or more first useful proteins corresponding to the first pixel and one or more second useful proteins corresponding to one or more second pixels, a length between the first pixel and each of the one or more second pixels being less than or equal to a first length among the pixels, and causes the display to display the electrophoretic image, the one or more first useful proteins, and the one or more second useful proteins as a second display image.

    Image forming apparatus, image forming method and image sensor
    5.
    发明授权
    Image forming apparatus, image forming method and image sensor 有权
    图像形成装置,图像形成方法和图像传感器

    公开(公告)号:US09438793B2

    公开(公告)日:2016-09-06

    申请号:US14628035

    申请日:2015-02-20

    IPC分类号: H04N5/232 H04N5/235

    摘要: An exemplary image forming apparatus includes: an illumination system which sequentially emits illuminating light beams from multiple different irradiation directions; an image sensor which captures a plurality of different images in the multiple different irradiation directions, respectively; an image processing section which forms a high-resolution image; and a memory which stores data about the ratio of light rays that have been incident on a photoelectric conversion section of each pixel of the image sensor to light rays that have passed through the upper surface of a plurality of subpixels included in the pixel with respect to each of the multiple irradiation directions. The image processing section forms the high-resolution image based on the data that has been retrieved from the memory by extracting, as a vector, a set of pixel values associated with the multiple irradiation directions from pixel values that form each of the plurality of images.

    摘要翻译: 示例性图像形成装置包括:照明系统,其顺序地从多个不同的照射方向发射照明光束; 图像传感器,其分别在多个不同的照射方向上捕获多个不同的图像; 形成高分辨率图像的图像处理部; 以及存储器,其将关于已经入射到图像传感器的每个像素的光电转换部分的光线的比率的数据相对于已经通过像素中包括的多个子像素的上表面的光线相对于 每个多个照射方向。 图像处理部基于从存储器检索到的数据形成高分辨率图像,通过从形成多个图像中的每一个的像素值中提取与多个照射方向相关联的一组像素值作为向量 。

    Learning apparatus, identifying apparatus, learning and identifying system, and recording medium

    公开(公告)号:US11023806B2

    公开(公告)日:2021-06-01

    申请号:US15641063

    申请日:2017-07-03

    IPC分类号: G06N3/08 G06N3/04 G06F17/16

    摘要: A learning apparatus includes at least one memory and at least one circuit. The circuit (a) obtains a first neural network that has learned by using source learning data and obtains target learning data, the target learning data including a plurality of first data items each of which is given a first label and a plurality of second data items each of which is given a second label, (b) obtains a plurality of first output vectors by inputting the plurality of first data items to a second neural network and obtains a plurality of second output vectors by inputting the plurality of second data items to the second neural network, and (c) generates a first relation vector corresponding to the first label by using the plurality of first output vectors and generates a second relation vector corresponding to the second label by using the plurality of second output vectors.

    Anomaly detection method and recording medium

    公开(公告)号:US10757125B2

    公开(公告)日:2020-08-25

    申请号:US16135520

    申请日:2018-09-19

    摘要: An anomaly detection method includes generating second data by adding normal noise to first data; generating third data by adding abnormal noise to the first data; inputting the first data, the second data, and the third data to a neural network; calculating a first normal score, a second normal score, and a third normal score; calculating a third difference based on a first difference and a second difference, the first difference being based on a difference between the first normal score and the second normal score, the second difference being based on a difference between the first normal score and the third normal score; changing the neural network so that the third difference becomes smallest; inputting, to the changed neural network, fourth data that is unknown in terms of whether the fourth data is normal or abnormal; and determining whether the fourth data is normal or abnormal.