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Image reconstruction using the reconfiguration technique

机译:使用重新配置技术重建

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摘要

Image reconstruction has been under study for decades and plays an important role in science, technology and security. In this paper, we propose an identification method for coded images. This method is different from conventional object identification frameworks, not in the sense of the extracted geometrical features but in the sense of the reconfiguration concept used. The goal of reconfiguration in this study is to reach a point that will make object identification possible. There have been research projects previously conducted on this topic and most of them are discretization-based. Our method, based on the reconfiguration concept, is a technology-based method that allows object identification. Our experimentation shows that the object can be identified within 8 iterations of the algorithm, beyond which no additional accuracy is achieved. This identification method, based on reconfiguration, extends the existing ones and enhances state-of-the-art object identification methods.
机译:几十年来,图像重建一直在研究中,在科学,技术和安全方面发挥着重要作用。在本文中,我们提出了一种用于编码图像的识别方法。该方法与传统的对象识别框架不同,而不是提取的几何特征的意义,而是在使用的重新配置概念的意义上。本研究中重新配置的目标是达到将成为可能的对象识别的点。此前有关于此主题进行的研究项目,其中大部分是基于离散化的。我们的方法基于重新配置概念是一种基于技术的方法,允许对象标识。我们的实验表明,可以在算法的8次迭代中识别对象,超出其未实现额外准确性。该识别方法基于重新配置,扩展了现有的方法并增强了最先进的对象识别方法。

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