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Fractal dimension applied in texture feature extraction in x-ray chest image retrieval

机译:分形维数在X射线胸部图像检索中纹理特征提取中的应用

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摘要

Texture feature extraction is a key step in image retrieval process for nowadays medical images. In this paper, the texture feature extraction of x-ray chest images for image retrieval has been studied. Before texture feature extraction, image preprocessing such as histogram equalization and morphological filtering have been used for improving the contrast and SNR of the image. Meanwhile, some transforms have been done on image matrices to better express the direction details of x-ray chest images. After that, fractal dimension is calculated as the texture feature. The experiment results show that the retrieval system with the fractal algorithm has relatively high precision and recall up to about 85%. Therefore, it can be applied on x-ray chest image retrieval and classification system to help doctors well manage medical images in a large amount.
机译:纹理特征提取是当今医学图像检索过程中的关键步骤。本文研究了用于图像检索的X射线胸部图像的纹理特征提取。在提取纹理特征之前,已经使用诸如直方图均衡和形态滤波之类的图像预处理来改善图像的对比度和SNR。同时,对图像矩阵进行了一些转换,以更好地表达X射线胸部图像的方向细节。之后,将分形维数作为纹理特征进行计算。实验结果表明,采用分形算法的检索系统具有较高的精度,召回率高达85%左右。因此,它可以应用于X射线胸腔图像检索和分类系统,以帮助医生大量管理好医学图像。

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