Thresholding using Quantum-dot Cellular Automata

Quantum-dot Cellular Automata(QCA), a promising alternative to CMOS technology, can provide a powerful and efficient computing platform for image processing which has heavy computational requirements. Image thresholding is one such image processing technique that plays a significant role in applications of image segmentation for its intuitive properties and simplicity. This work proposes an efficient architecture to carry out thresholding in image processing. It is developed around QCA technology and provides significant improvement over the existing approach.