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ARCHITECTURE AND METHOD FOR REAL-TIME PARALLEL DETECTION AND EXTRACTION OF MAXIMALLY STABLE EXTREMAL REGIONS (MSERS)

机译:实时并行检测和提取最大稳定外部区域(MSERS)的体系结构和方法

摘要

Architecture for real-time extraction of maximally stable extremal regions (MSERs) is disclosed. The architecture includes a communication interface and processing circuitry that are configured in hardware to receive a data stream of an intensity image in real-time and provide labels for light image regions and dark image regions within the intensity image that match a given intensity threshold during a single processing pass. The communication interface and processing circuitry are also configured in hardware to find extremal regions within the intensity image based upon the labels and to determine MSER ellipses parameters based upon the extremal regions and MSER criteria. In at least one embodiment, the MSER criteria include minimum and maximum MSER areas, and an acceptable growth rate value for MSER areas. In another embodiment, the MSER criteria include a nested MSER tolerance value.
机译:公开了用于最大稳定末端区域(MSER)的实时提取的架构。该体系结构包括通信接口和处理电路,这些通信接口和处理电路被配置为在硬件中实时接收强度图像的数据流,并为强度图像中与给定强度阈值匹配的亮图像区域和暗图像区域提供标签。单次处理通行证。通信接口和处理电路还被配置为硬件,以基于标记在强度图像内找到极端区域,并基于极端区域和MSER标准确定MSER椭圆参数。在至少一个实施例中,MSER标准包括最小和最大MSER面积,以及对于MSER面积的可接受的增长率值。在另一个实施例中,MSER标准包括嵌套的MSER公差值。

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