基于光谱纹理和形状描述符融合的x射线图像内容检索

Bikesh Kr. Singh, G. Sinha, B. Mazumdar, Md. Shariar Imroze Khan
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引用次数: 6

摘要

本文讨论了基于内容的x射线图像检索中光谱特征与形状特征融合的方法。纹理分析和形状描述是图像内容描述的两个关键部分。大多数现有的描述符要么依赖于应用,要么不具有鲁棒性,因此我们使用谱测量进行含量分析,使用傅立叶描述符进行形状分析。从210张x射线图像数据库中,成功检索到198张图像,CBIR系统的效率为94.28%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Content Based Retrieval of X-ray Images Using Fusion of Spectral Texture and Shape Descriptors
In this paper content based image retrieval of x-ray images using fusion of spectral & shape features is discussed. Texture analysis and shape description are two of the key parts of image content description. Most of the existing descriptors are usually either application dependent or non-robust so we have used spectral measure for content analysis and Fourier descriptors for shape analysis. From x-ray database of 210 images, 198 images where successfully retrieved which resulted in an efficiency of the CBIR system of 94.28%.
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