Medical Image Retrieval Based on Color-tezture algorithm and GTI model
With DICOM, information of patient can be stored with the actual images. Content-based access to medical images for supporting clinical decision-making has been proposed to ease the management of clinical data. The paper presents a method of medical image retrieval based on color-texture correlogram and GIT model for endoscopic images. First we define a new image feature called color-texture correlogram which is the extension of color correlogram. The texture image extracted by texture spectrum algorithm is combined with color feature vector, then we calculate the spatial correlation of color-texture feature vector. In order to obviate the expensive computation, we have another way to calculate the pixels correlation to reduce its time complexity. Similarity measure is also the key technology during domain of image retrieval, GTI model is used in medical image retrieval for similarity measure, and the technique of relevance feedback is used in the algorithm to enhance the effectiveness of retrieval. Experiment results show that the method discussed in this paper is much more effective.
medical image retrieval endoscopic images color correlogram tezture spectrum color-tezture correlogram GTI model
Tai Xiao-ying Wang Li-dong
Information Science and Engineering NingBo University ZheJiang NingBo,315211,China QianJiang College HangZhou Normal University ZheJiang HangZhou, 310012,China
国际会议
上海
英文
2596-2600
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）