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引用次数: 1
摘要
本文提出了一种利用任意结构元素有效实现灰度形态扩张的二维收缩阵列架构,并利用该架构设计了两阶段流水化的形态开放架构。所提出的收缩阵列架构在流上处理像素,从而消除了在处理之前缓冲图像数据的需要。此外,与现有的收缩阵列结构不同,它不需要增加用于处理图像像素的延迟元素,从而提高处理帧速率。另一方面,与简单的硬件实现相比,两阶段的流水线架构在计算形态打开方面提供了更好的性能。该架构使用Xilinx Design Suite 14.2 ISE进行合成,并在Virtex 6 FPGA板(XC6VLX240T-3FF1156)上进行原型设计,并使用Xilinx ISIM模拟器进行验证。当使用中等大小的非矩形se对高分辨率图像进行测试时,该架构提供了实时性能,结果优于现有的收缩阵列实现。
A systolic array architecture for morphological operators using arbitrary structuring elements
This paper presents an 2-D systolic array architecture for an efficient implementation of gray-scale morphological dilation using arbitrary structuring element and used it to design 2-stage pipelined architecture for morphological opening. The proposed systolic array architecture processes pixels on stream that eliminates the need for buffering image data prior to processing. Additionally, unlike existing systolic array architecture, it does not necessarily adds delay element for processing pixels of an image thereby increasing the processing frame rate. The 2-stage pipelined architecture, on the other hand, provides better performance compared to naive hardware implementation to compute morphological opening. The architecture has been synthesized using Xilinx Design Suite 14.2 ISE and prototyped on Virtex 6 FPGA Board (XC6VLX240T-3FF1156) and verified using Xilinx ISIM Simulator. The architecture provides real time performance when tested for high resolution images using moderate size non-rectangular SEs and results outperforms existing systolic array implementation.