Title :
Medical Image Retrieval using Salient Point Detector
Author :
Liu, W. ; Tong, Q.Y.
Author_Institution :
Coll. of Boimedical Eng. & Instrument Sci., Zhejiang Univ., Hangzhou
Abstract :
Salient or interest points ot a medical image can represent local properties of it. In this paper, a salient points based approach for medical image retrieval is proposed. In order to extract salient points from a medical image, we proposed a novel approach based on spectrum energy variation. Moreover, the other two salient points algorithm are also used. One is entropy-based and the other is a saliency-based bottom-up visual attention computational model which is motivated by visual physiological experimental results. Preliminary comparison study of salient points-based and entire image-based retrieval approach showed that our approach can achieve retrieval accuracy closely to global approach. Furthermore, amount of computation can be reduced by our approach
Keywords :
entropy; image retrieval; medical image processing; entropy-based bottom-up visual attention computational model; medical image retrieval; saliency-based bottom-up visual attention computational model; salient point detector; spectrum energy variation; Biomedical engineering; Biomedical imaging; Computational modeling; Content based retrieval; Detectors; Image databases; Image retrieval; Information retrieval; Magnetic resonance imaging; Ultrasonic imaging;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615950