Content-Based Medical Image Retrieval Using the Generic Fourier Descriptor with Brightness

Ashok Vijay, M. Bhattacharya
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引用次数: 6

Abstract

Content based medical image retrieval (CBMIR) is been highly active research area from past few years . We describes a efficient approach and algorithm that capable of extracting the key information from the medical images based on there shape. We use the Generic Fourier Descriptor (GFD) with Brightness as additional parameter to have good retrieval accuracy. Image is represented in polar form and 2-D Fourier transform is applied on them to get GFD. The acquired descriptor is application independent and robust. Experimental results show the GFD with brightness have better performance over the other contour-based descriptor
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基于内容的带有亮度的通用傅里叶描述子医学图像检索
基于内容的医学图像检索(CBMIR)是近年来一个非常活跃的研究领域。提出了一种基于图像形状提取关键信息的有效方法和算法。我们使用带有亮度的通用傅里叶描述子(GFD)作为附加参数来获得较好的检索精度。图像以极坐标形式表示,对其进行二维傅里叶变换得到GFD。所获得的描述符与应用无关,并且具有鲁棒性。实验结果表明,与其他基于轮廓的描述符相比,具有亮度的GFD具有更好的性能
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