基于傅立叶变换的医学图像检索算法分析

Analysis of Medical Image Retrieval Algorithm Based on the Fourier Transformation

如何从傅立叶变换的频谱特征获取附加识别信息,构造相应的特征向量,并选择适宜的相似性度量方法,是基于频率域的图像检索的关键.比较分析了基于傅立叶频谱的两组特征,选取楔环特征应用于西北大学可视化研究所开发的医学影像数据库系统中,在医学图像的检索中取得了较好的效果.

How to extract feature from Fourier power spectrum to get additional information and how to select feasible similarity measurement are the key problems in frequency domain based image retrieval. Evaluated and analyzed two groups of features, which are based on the fourier frequency spectrum. The method is used in a medical image database developed by institute of visualization technology in Northwest University, it proves that using the approach opposed in the paper can get better results.