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基于智能优化算法的MRI图像适配模板滤波的阈值优化

hreshold Optimization of Adaptive Template Filtering for MRI Based on Intelligent Optimization Algorithm

中文摘要英文摘要

智能优化算法主要包括免疫算法和遗传算法。MRI图像最大的特征之一就是灰度的复杂变化。适配模板滤波优于传统的滤波算法,更为适合MRI图像的滤波。然而,适配模板滤波中阈值的选取是复杂的问题,它直接影响着去噪的效果。以往,阈值选取严重依赖于经验,缺乏坚固的理论基础。本文分别利用2种智能优化算法对阈值进行优化,实验表明,2种智能优化算法都能较好地解决阈值选取问题。通过算法分析,免疫算法的性能优于遗产算法。作为一种新型的智能优化算法,免疫算法在图像处理领域将发挥巨大的潜力。

Intelligent Optimization Algorithm (IOA) mainly includes Immune Algorithm (IA) and Genetic Algorithm (GA). One of the most important characteristics of MRI is the complicated changes of gray level. Traditional filtering algorithms are not fit for MRI. Adaptive Template Filtering Method (ATFM) is an appropriate denoising method for MRI. However, selecting threshold for ATFM is a complicated problem which directly affects the denoising result. Threshold selection has been based on experience. Thus, it was lack of solid theoretical foundation. In this paper, 2 kinds of IOA are proposed for threshold optimization respectively. As our experiment demonstrates, they can effectively solve the problem of threshold selection and perfect ATFM. Through algorithm analysis, the performance of IA surpasses the performance of GA. As a new kind of IOA, IA exhibits its great potential in image processing.

武优西、郭磊、刘雪娜、颜威利

生物科学教育电子技术应用计算技术、计算机技术

智能优化算法,免疫算法,图像处理。

Intelligent optimization algorithm Immune algorithm Image processing.

武优西,郭磊,刘雪娜,颜威利.基于智能优化算法的MRI图像适配模板滤波的阈值优化[EB/OL].(2007-05-23)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/200705-383.点此复制

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