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    • 3. 发明申请
    • METHOD AND SYSTEM FOR AUTOMATICALLY DETECTING DEFECTS IN REMOTE VIDEO INSPECTION APPLICATIONS
    • 用于自动检测远程视频检测应用中的缺陷的方法和系统
    • WO2004086014A1
    • 2004-10-07
    • PCT/US2004/007904
    • 2004-03-15
    • WELCH ALLYN, INC.KARPEN, Thomas, W.BENDALL, Clark, A.SALVATI, Jon, R.
    • KARPEN, Thomas, W.BENDALL, Clark, A.SALVATI, Jon, R.
    • G01N21/95
    • G01N21/8803G01N21/9515G06T7/0008G06T7/001G06T2207/30164
    • The system automatically performs analysis on images from a remote video inspection apparatus to provide an operator with an indication of areas that are potentially out of specification, or which require more detailed analysis by the operator. Pattern recognition algorithms are applied to sequential images to search for anomalies or defects in the images. The search area is initially limited to edges of the item being inspected where the probability of defects is much higher. To reduce the processing requirements and probability of false detection, the search area is narrowed to a limited field of view and depth. Defects such as dents and small cracks are detected using stereo measurement techniques or by projecting a known supplementary image into the defect. These techniques are used to provide an image disparity map. Using known triangulation algorithms, this map provides depth and distance information to the processing system.
    • 该系统对来自远程视频检查装置的图像进行自动执行分析,以向操作者提供潜在地超出规范的区域的指示,或者需要操作者更详细的分析。 模式识别算法应用于顺序图像,以搜索图像中的异常或缺陷。 搜索区域最初被限制在被检查项目的边缘,其中缺陷的概率高得多。 为了减少处理要求和错误检测的可能性,搜索范围缩小到有限的视野和深度。 使用立体测量技术或通过将已知的补充图像投影到缺陷中来检测凹痕和小裂缝等缺陷。 这些技术用于提供图像视差图。 使用已知的三角测量算法,该图提供了处理系统的深度和距离信息。