A Configurable Design for Morphological Erosion and Dilation Operations in Image Processing using Quantum-dot Cellular Automata

Abstract

This paper presents a novel configurable design for the implementation of basic morphological operations based on Quantum-dot Cellular Automata (QCA) technology. QCA is a promising technology in the field of nanoelectronics that could be utilized in many image processing applications. QCA architecture will provide better performance by exploiting parallel processing, better silicon-area utilization, maximization of clock speed and very low power consumption. Fundamentals of QCA technology and circuit design and the basic operations of mathematical morphology are presented in brief. A new innovative QCA design that is capable to implement either the erosion or the dilation morphological operation, configured by the value of one-bit input is designed, simulated and tested with success.

Keywords

• quantum cellular automata
• QCA design
• nanoelectronics
• image processing
• mathematical morphology. ___________________________________________________________________