Blob detection in noisy images
    1.
    发明授权
    Blob detection in noisy images 有权
    嘈杂图像中的Blob检测

    公开(公告)号:US09501830B2

    公开(公告)日:2016-11-22

    申请号:US14661248

    申请日:2015-03-18

    CPC classification number: G06T5/002 G06T5/005 G06T7/11 G06T7/12

    Abstract: Techniques related to blob detection in noisy images are discussed. Such techniques may include traversing a contour associated with a candidate blob contour pixel to an inline pixel along a predetermined orientation, detecting a direction of the inline pixel with respect to the candidate blob contour pixel, and continuing to traverse the contour as a contour of the blob or detecting a second candidate blob contour pixel based on the detected direction.

    Abstract translation: 讨论了与嘈杂图像中的斑点检测相关的技术。 这样的技术可以包括沿着预定方向遍历与候选斑点轮廓像素相关联的轮廓到内联像素,检测相对于候选斑点轮廓像素的内联像素的方向,并且继续横穿轮廓作为轮廓 blob或基于检测到的方向检测第二候选斑点轮廓像素。

    BLOB DETECTION IN NOISY IMAGES
    2.
    发明申请
    BLOB DETECTION IN NOISY IMAGES 有权
    噪声图像中的BLOB检测

    公开(公告)号:US20160275668A1

    公开(公告)日:2016-09-22

    申请号:US14661248

    申请日:2015-03-18

    CPC classification number: G06T5/002 G06T5/005 G06T7/11 G06T7/12

    Abstract: Techniques related to blob detection in noisy images are discussed. Such techniques may include traversing a contour associated with a candidate blob contour pixel to an inline pixel along a predetermined orientation, detecting a direction of the inline pixel with respect to the candidate blob contour pixel, and continuing to traverse the contour as a contour of the blob or detecting a second candidate blob contour pixel based on the detected direction.

    Abstract translation: 讨论了与嘈杂图像中的斑点检测相关的技术。 这样的技术可以包括沿着预定方向遍历与候选斑点轮廓像素相关联的轮廓到内联像素,检测相对于候选斑点轮廓像素的内联像素的方向,并且继续横穿轮廓作为轮廓 blob或基于检测到的方向检测第二候选斑点轮廓像素。

    Method and system of depth data filling of shadows for image processing

    公开(公告)号:US10097793B2

    公开(公告)日:2018-10-09

    申请号:US15210802

    申请日:2016-07-14

    Abstract: Techniques described herein are related to a system, medium, and method of depth data filling of shadows for image processing comprising obtaining a location of at least one gap of missing depth data on pixel image data of at least one image, calculating a shadow band length corresponding to a size and position of the gap on the image, and calculated by using, at least in part, background and foreground depth values, and providing depth values of multiple pixel locations extending along the shadow band length.

    Connected component labeling in graphics processors
    4.
    发明授权
    Connected component labeling in graphics processors 有权
    在图形处理器中连接的组件标签

    公开(公告)号:US09558560B2

    公开(公告)日:2017-01-31

    申请号:US14210585

    申请日:2014-03-14

    Abstract: Systems and methods may provide for obtaining data associated with an image and using a plurality of threads in a graphics processor to conduct a single instruction multiple data (SIMD) scan of the data. Additionally, systems and methods may provide for generating a plurality of connection tables corresponding to the plurality of threads based on the SIMD scan. In one example, a plurality of threads in the graphics processor are used to conduct a single phase merge of the plurality of connection tables onto a global connected components labeling (CCL) table for the image.

    Abstract translation: 系统和方法可以提供用于获得与图像相关联的数据并且使用图形处理器中的多个线程来进行数据的单指令多数据(SIMD)扫描。 此外,系统和方法可以提供用于基于SIMD扫描生成与多个线程相对应的多个连接表。 在一个示例中,图形处理器中的多个线程用于将多个连接表的单相合并进行到用于图像的全局连接分量标签(CCL)表。

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