Medical image retrieval based on low level feature fusion and relevance feedback / 中国医疗器械杂志

Based on chest images' features, this paper presents a retrieval method with domination color of partition, gray level co-occurrence matrix and gradient image shape invariant moments, as well as the fusion of them and the technique of relevance feedback. In Windows Vista environment with Visual C + +, a chest image retrieval prototype is implemented and the experiments have proved that this method has a better retrieval effect.

Medical image retrieval based on wavelet transform texture analysis / 中国医疗器械杂志

Content-based medical image retrieval has become a hot research topic due to the rapid increase of image database. In this paper, we present a method of medical images retrieval, based on texture analysis with Haar wavelet transform. Meanwhile, its effectiveness is compared with the method of retrieval based on co-occurrence matrix. A prototype system is implemented and the experiments show that the method has a much better effect.