Author Affiliations
Abstract
Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240
Content-based image retrieval has been an active area of research for more than ten years. Gabor schemes and support vector machine (SVM) method have been proven effective in image representation and classification. In this paper, we propose a retrieval scheme based on Gabor filters and SVMs for hepatic computed tomography (CT) images query. In our experiments, a batch of hepatic CT images containing several types of CT findings are used for the retrieval test. Precision comparison between our scheme and existing methods is presented.
基于内容的图像检索 支持向量机 Gabor特征 肝脏CT图像 100.2000 Digital image processing 100.2960 Image analysis 100.6950 Tomographic image processing 100.7410 Wavelets Chinese Optics Letters
2008, 6(7): 495