一种改进的图像配准优化方法

L. Bolecek, V. Rícný, M. Slanina
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引用次数: 0

摘要

本文主要研究图像配准问题。图像配准是图像处理中的重要操作。配准精度对图像的进一步处理质量至关重要,如三维图像处理。本文提出了一种新的成本函数。实验结果表明,与现有方法相比,新提出的函数具有低复杂度的优点。该函数可靠性好,收敛速度快。本文还对粒子群优化方法进行了具体的改进,以便对结果进行评价。本文提出了一种新的图像伪颜色表示方法。伪彩色表示在图像中提供高对比度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modified method for optimization of image registration
The paper deals with the topic of image registration. Image registration is important operation in image processing. Registration accuracy has essential importance for the quality of further processing of images in e.g. 3D processing. This paper provides one new cost function. Experimental results performed in this work show that this newly proposed function has the advantage of low complexity in comparison with the present-day methods. The function has good reliability and fast convergence. The paper presents a specific modification of particle swarm optimization for the evaluation of the results as well. The paper provides a novel approach using pseudo-color representation of image. Pseudo-color representation offers high contrast in images.
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