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System and method for finding saddle-point-like structures in an image and determining information thereof

机译:查找图像中的鞍点状结构并确定其信息的系统和方法

摘要

This invention provides a system and a method for finding of features in images, which have structures saddle-point-like; for this purpose, mathematically relatively down-intensive processes are used, for example, consisting of a anti-correlation process anti-correlation kernel and the therewith connected to a plurality of pixel neighborhoods operates within the image. This process permits the rapid analysis of the combined picture is to any kind of features, which has saddle-point-like structures, by determining whether the anti-correlation kernel a weak or strong reaction at different positions within the image. The anti-correlation kernel, a strong reaction independently of the alignment of saddle-point-like structures. The examined anti-correlation process a plurality of pixel neighborhoods in the image, and takes place in this way all the structures saddle-point-like independently of their orientation, because of the process is angle-independent. The structures are then grouped and refined (for example, in a grid) in an endeavor id-topologies within the image, to find and to decode.
机译:本发明提供了一种用于在图像中寻找特征的系统和方法,该特征具有鞍状结构。为此,使用数学上相对低强度的处理,例如,由反相关处理反相关内核组成,并且由此与多个像素邻域连接的反相关内核在图像内进行操作。该过程允许通过确定反相关核在图像内不同位置处是弱反应还是强反应,来快速分析组合图像是否具有鞍点状结构的任何类型的特征。反相关内核,独立于鞍点状结构对齐的强烈反应。所检查的反相关性处理图像中的多个像素邻域,并且由于该过程是独立于角度的,因此以这种方式进行所有结构的鞍点状,而与它们的取向无关。然后将结构按照图像中的id拓扑进行分组和优化(例如,在网格中),以查找和解码。

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