QUANTUM DOT CELLULAR AUTOMATA PROCESS IN IMAGE PROCESSING TECH
Publication date: 08/07/2020
his book explains about Quantum Dot Cellular Automata an upcoming technology of Nano electronics
This book explains about Quantum Dot Cellular Automata an upcoming technology of Nano electronics which is ensuring a very low power consumption, maximized clock speed, low silicon area utilization and performance enriching parallel processing techniques which is employed in various image processing techniques such as image masking, image thresholding, image enhancement, image classification is studied and analyzed. Here we discussed the various steps of image processing and applicational role of quantum dot cellular automata a transistor less architecture in each unique process as a mathematical morphology model that helps in binary information exchange and to perform computation. Image classification from given image initially requires the removal of noise which is best done by converting image to a gray scale. This gray scale image is considered as a binary image which could be subjected to various computing techniques which operate on binary data. The technique of Quantum Dot Cellular Automata would be employed to the image in the gray scale or binary data format for the process of image classification. Quantum Dot Cellular Automata in designing VLSI architecture which finds its application in image processing resulting in reduced power consumption and reduced mathematical complexity.
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