A texture features based medical image retrieval system for breast cancer

Jianlong Zhou,Chang Feng,Xiaoming Liu,Tang, J.

Computing and Convergence Technology（2012）

引用 26|浏览3

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摘要

This paper designed and implemented a content-based medical image retrieval (CBMIR) system for mammograms images. The main functions of this system includes query module, feature extraction module, matching module and display module. The system uses the Euclidean distance as an image similarity measure, using the gray level co-occurrence matrix texture and Tamura texture feature extraction. Experiments are performed with 85 mass images from DDSM dataset, an average precision of 69% is achieved.

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关键词

cancer,content-based retrieval,feature extraction,image retrieval,image texture,mammography,matrix algebra,medical image processing,cbmir system,ddsm dataset,euclidean distance,tamura texture feature extraction,breast cancer,content-based medical image retrieval system,display module,feature extraction module,gray level cooccurrence matrix texture,image similarity measure,mammogram images,matching module,query module,texture feature based medical image retrieval system,cbmir,glcm,mammograms,tamura

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