Texture features for browsing and retrieval of image data
Texture features for browsing and retrieval of image data
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DOI：
10.1109/34.531803
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发表时间：
1996-08-01
影响因子：
23.6
通讯作者：
Ma, WY
中科院分区：
文献类型：
--
作者：
Manjunath, BS;Ma, WY
基于图像内容的检索在数字图书馆和多媒体数据库中得到了广泛的应用，已成为一个重要的研究领域。本文的研究重点是图像处理方面，特别是利用纹理信息进行大型图像数据的浏览和检索。我们提出了使用Gabor小波特征进行纹理分析，并提供了一个全面的实验评估。与使用Brodatz纹理数据库的其他多分辨率纹理特征的比较表明，Gabor特征提供了最好的模式检索精度。给出了一个浏览大型航空照片的应用程序。
Image content based retrieval is emerging as an important research area with application to digital libraries and multimedia databases. The focus of this paper is on the image processing aspects and in particular using texture information for browsing and retrieval of large image data. We propose the use of Gabor wavelet features for texture analysis and provide a comprehensive experimental evaluation. Comparisons with other multiresolution texture features using the Brodatz texture database indicate that the Gabor features provide the best pattern retrieval accuracy. An application to browsing large air photos is illustrated.