Title :
A texture features based medical image retrieval system for breast cancer
Author :
Jianlong Zhou ; Chang Feng ; Xiaoming Liu ; Tang, Ju
Author_Institution :
Coll. of Comput. Sci. & Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China
Abstract :
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.
Keywords :
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;
Conference_Titel :
Computing and Convergence Technology (ICCCT), 2012 7th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0894-6
