Implementing grayscale morphological operators with a compact ranked order extractor circuit

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI:10.1109/CNNA.2002.1035107

J. Poikonen, A. Paasio

引用次数: 6

Abstract

Mathematical morphology provides tools for many image processing tasks. In this paper we discuss the implementation of grayscale morphological operators of erosion, dilation and reconstruction with a hardware efficient ranked order filter circuit. By using dedicated hardware for these basic operations a higher performance of processing more complex functions in a massively parallel processor array can be achieved. Because the circuit realization of the ranked order filter used is very compact, the area required for one processing cell can be kept low. Simulations of the operation were performed with a 0.18 /spl mu/m digital CMOS technology.

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实现灰度形态算子与一个紧凑的排序顺序提取电路

数学形态学为许多图像处理任务提供了工具。本文讨论了用硬件高效的秩序滤波电路实现侵蚀、膨胀和重构的灰度形态算子。通过为这些基本操作使用专用硬件，可以实现在大规模并行处理器阵列中处理更复杂功能的更高性能。由于所采用的排序滤波器的电路实现非常紧凑，因此可以保持一个处理单元所需的面积很低。采用0.18 /spl mu/m的数字CMOS技术进行了仿真。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications

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