FPGA-Based Parallel Implementation of Morphological Operators for 2D Gray-Level Images.

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Bibliographic Details
Title:	FPGA-Based Parallel Implementation of Morphological Operators for 2D Gray-Level Images.
Authors:	Mukherjee, Debasish¹ debasish0004@cse.ism.ac.in, Mukhopadhyay, Susanta¹ msushanta2001@gmail.com, Biswas, G.¹ gpbiswas@gmail.com
Source:	Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Aug2017, Vol. 42 Issue 8, p3191-3206. 16p.
Subjects:	Systolic array circuits, Parallel algorithms
Abstract:	In this study a parallel algorithm and its implementation on hardware platform for 2D gray-level morphological dilation/erosion using rectangular structuring element are presented. A pipelined architecture for morphological opening/closing and open-close filter is designed exploiting inter-operator parallelism among dilation/erosion operator. The proposed parallel algorithm processes pixel onstream resulting in low memory utilization. In addition, it reduces computational time with respect to image dimension. The architecture provides real-time performance for processing large-sized structuring elements on high-resolution images. Additionally, it outperforms the processing capabilities of existing delay-line-based architecture, systolic array architecture and parallel implementation in terms of frame rate. It has been observed that the proposed method achieves a maximum speedup by a factor of two and four to compute opening/closing and open-close filter compared to the equivalent non-pipelined implementation. Experimental results show that the architecture for open-close filter is able to achieve about 591 frames per second on $$566\times 566$$ images using $$9\times 9$$ rectangular structuring elements. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	In this study a parallel algorithm and its implementation on hardware platform for 2D gray-level morphological dilation/erosion using rectangular structuring element are presented. A pipelined architecture for morphological opening/closing and open-close filter is designed exploiting inter-operator parallelism among dilation/erosion operator. The proposed parallel algorithm processes pixel onstream resulting in low memory utilization. In addition, it reduces computational time with respect to image dimension. The architecture provides real-time performance for processing large-sized structuring elements on high-resolution images. Additionally, it outperforms the processing capabilities of existing delay-line-based architecture, systolic array architecture and parallel implementation in terms of frame rate. It has been observed that the proposed method achieves a maximum speedup by a factor of two and four to compute opening/closing and open-close filter compared to the equivalent non-pipelined implementation. Experimental results show that the architecture for open-close filter is able to achieve about 591 frames per second on $$566\times 566$$ images using $$9\times 9$$ rectangular structuring elements. [ABSTRACT FROM AUTHOR]
ISSN:	2193567X
DOI:	10.1007/s13369-017-2429-y