A Fault-Tolerant Image Processor for Executing the Morphology Operations Based on a Nanoscale Technology

Abstract

The morphology algorithms are an exciting field that provides a powerful and unified method applied to image and video processing applications. Also, they have many advantages to give manageable hardware implementations and are widely employed as parts of image processing techniques. On the other hand, Quantum-dot Cellular Automata (QCA) is a promising and novel nanotechnology that contains notable benefits against common technologies in diverse features like extremely small size, low energy loss, and high operation frequency. Besides, schematizing circuits with no info loss or fault-tolerant might be beneficial in reducing power wastage. In the present paper, we suggest a novel fault-tolerant procedure to execute the morphology operations in digital image processing based on QCA. The mentioned fault-tolerant schematization for executing the morphology operations in digital image processing is easy to build. It contains notably lower elements than Complementary Metal Oxide Semiconductor (CMOS) design. Implementation and testing of all circuits are achieved using the QCADesigner tool. The suggested fault-tolerant circuit for morphological dilation/erosion operation attains high fault-tolerant in all cases of defects.