Title :
Medical Image Retrieval Using SIFT Feature
Author :
Zhi, Li-Jia ; Zhang, Shao-Min ; Zhao, Da-Zhe ; Zhao, Hong ; Lin Shu-kuan
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
In this paper, authors study using SIFT feature for medical image retrieval. Under bag-of-words framework, this paper study different methods forming visual words from local SIFT feature, and show good choice for medical image retrieval, in different condition. Through experimentation on different body parts, rotation and scale, the methods show different performance, thus provide reasonable choice for medical image retrieval.
Keywords :
feature extraction; image retrieval; medical image processing; SIFT feature; bag-of-words framework; medical image retrieval; scale invariant feature transform; Biomedical engineering; Biomedical imaging; Computer vision; Content based retrieval; Feature extraction; Histograms; Image retrieval; Image segmentation; Information retrieval; Vocabulary;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5304112
