利用重构技术进行图像重建

Etienne Aubin Mbe Mbock
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引用次数: 0

摘要

图像重建已经被研究了几十年,在科学、技术和安全领域发挥着重要作用。本文提出了一种编码图像的识别方法。该方法与传统的目标识别框架的不同之处,不在于提取的几何特征,而在于所使用的重构概念。本研究中重新配置的目标是达到一个点,将使对象识别成为可能。之前已经有关于这个主题的研究项目,大多数都是基于离散化的。我们的方法,基于重构的概念,是一种基于技术的方法,允许对象识别。我们的实验表明,该算法可以在8次迭代内识别目标,超过8次迭代后没有额外的精度。这种基于重构的目标识别方法是对现有目标识别方法的扩展和改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image reconstruction using the reconfiguration technique
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.
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