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公开(公告)号:US11698849B2
公开(公告)日:2023-07-11
申请号:US17201320
申请日:2021-03-15
Applicant: MICRO FOCUS LLC
Inventor: Peng-Ji Yin , Xiao-Fei Yu , Shuhui Fu , Yi-Bin Guo
CPC classification number: G06F11/3664 , G06F3/0487 , G06F8/65 , G06F11/3688 , G06F18/22 , G06T7/11 , G06V10/40 , G06T2200/24
Abstract: Applications under test (AUT) may be tested by automated testing systems utilizing machine vision to recognize visual elements presented by the AUT and apply inputs to graphical elements, just as a human would. By utilizing the smallest image patch available, processing demands of the testing system are minimized. However, the image patch used to identify a portion of an AUT must be identifiable to the automated system. By selecting image patches that comprise the smallest size, but can be identified in an AUT by an automated system using machine vision, even as the AUT display is resized, reproportioned, noisy, or otherwise altered from the testing platform that was utilized for training.
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公开(公告)号:US20220292011A1
公开(公告)日:2022-09-15
申请号:US17201320
申请日:2021-03-15
Applicant: MICRO FOCUS LLC
Inventor: Peng-Ji Yin , Xiao-Fei Yu , Shuhui Fu , Yi-Bin Guo
Abstract: Applications under test (AUT) may be tested by automated testing systems utilizing machine vision to recognize visual elements presented by the AUT and apply inputs to graphical elements, just as a human would. By utilizing the smallest image patch available, processing demands of the testing system are minimized. However, the image patch used to identify a portion of an AUT must be identifiable to the automated system. By selecting image patches that comprise the smallest size, but can be identified in an AUT by an automated system using machine vision, even as the AUT display is resized, reproportioned, noisy, or otherwise altered from the testing platform that was utilized for training.
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