Principles of CMOS VLSI design: a systems perspective
Principles of CMOS VLSI design: a systems perspective
Morphological structuring element decomposition
Computer Vision, Graphics, and Image Processing
Image Analysis Using Mathematical Morphology
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pipeline architectures for morphologic image analysis
Machine Vision and Applications
Morphological Shape Decomposition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Decomposition of Convex Polygonal Morphological Structuring Elements into Neighborhood Subsets
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Linear Systolic Array for Real-Time Morphological Image Processing
Journal of VLSI Signal Processing Systems
The Complete Guide to Mmx Technology
The Complete Guide to Mmx Technology
An Introduction to Nonlinear Image Processing
An Introduction to Nonlinear Image Processing
Addressing Real-Time Requirements of Automatic Vehicle Guidance with MMX Technology
Proceedings of the 11 IPPS/SPDP'99 Workshops Held in Conjunction with the 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing
Using MMX Technology in Digital Image Processing
Using MMX Technology in Digital Image Processing
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Pipeline architectures for recursive morphological operations
IEEE Transactions on Image Processing
A digit-serial architecture for gray-scale morphological filtering
IEEE Transactions on Image Processing
Hybrid Morphology Processing Unit Architecture for Moving Object Segmentation Systems
Journal of VLSI Signal Processing Systems
Low-Power High-Speed Hybrid Wave-Pipeline Architectures for Binary Morphological Dilation
Journal of Signal Processing Systems
FPGA-based architecture for real time segmentation and denoising of HD video
Journal of Real-Time Image Processing
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In this paper we present novel systolic architectures for the fast execution of common morphological operations, that is dilation, erosion, closing, and opening. Their novelty stems from the fact that the same unit, the combined Erosion-Dilation Architecture (EDA), is used to perform either dilation, or erosion, or both of them in parallel (depending on control signals). The proposed architectures show a major advantage on using reduced resources for storing the structuring element (SE), lead to full resource utilization, and provide high processing rates. We concentrate on 1-dim structuring elements and present an improved architecture, that performs dilation and erosion in half the time compared to other architectures, using a workload partitioning technique. Furthermore, the amenability of the EDA to VLSI implementation is exemplified by a processor that performs binary morphological operations with 1 × 3 structuring sets. Finally, we show that the modularity of the proposed architectures allows the direct extension to 2-dim morphology.