{"title":"基于树结构余弦调制小波变换的CT图像检索","authors":"M. Kokare","doi":"10.1109/ICDIP.2009.63","DOIUrl":null,"url":null,"abstract":"Developing methods for medical image characterization and indexing are in great demand for organizing and retrieving images from huge medical image databases. In this paper, novel algorithm based on tree structured cosine modulated wavelet transform (TSCMWT) for retrieval of Computer Tomography (CT) images is proposed. The proposed method performs better than existing available methods. Experimental results are promising in order to meet the requirements of the fast-paced clinical environment.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"CT Image Retrieval Using Tree Structured Cosine Modulated Wavelet Transform\",\"authors\":\"M. Kokare\",\"doi\":\"10.1109/ICDIP.2009.63\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Developing methods for medical image characterization and indexing are in great demand for organizing and retrieving images from huge medical image databases. In this paper, novel algorithm based on tree structured cosine modulated wavelet transform (TSCMWT) for retrieval of Computer Tomography (CT) images is proposed. The proposed method performs better than existing available methods. Experimental results are promising in order to meet the requirements of the fast-paced clinical environment.\",\"PeriodicalId\":206267,\"journal\":{\"name\":\"2009 International Conference on Digital Image Processing\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Digital Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDIP.2009.63\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Digital Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDIP.2009.63","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
CT Image Retrieval Using Tree Structured Cosine Modulated Wavelet Transform
Developing methods for medical image characterization and indexing are in great demand for organizing and retrieving images from huge medical image databases. In this paper, novel algorithm based on tree structured cosine modulated wavelet transform (TSCMWT) for retrieval of Computer Tomography (CT) images is proposed. The proposed method performs better than existing available methods. Experimental results are promising in order to meet the requirements of the fast-paced clinical environment.
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