Title :
Medical image retrieval from distributed environment
Author :
Anbarasi, M.S. ; Mehata, K.M. ; Sandhya, S. ; Suganya, V.
Author_Institution :
Dept. of Inf. Technol., Ponicherry Eng. Coll., Puducherry, India
Abstract :
Image retrieval from distributed database is one of the challenging tasks in recent researches. Unlike text retrieval through SQL, MYSQL, etc, image retrieval is not an easy task because of its storage space, color, shape and texture factor. We propose a technique of retrieving images from a distributed database environment by giving a region of an image as an input query. By applying segmentation techniques while retrieval, the efficiency of retrieval is enhanced. This can be applied in medical field to locate tumors and other pathologies, measure tissue volumes, computer-guided surgery, diagnosis, treatment planning and study of anatomical structure.
Keywords :
biological tissues; content-based retrieval; distributed databases; image colour analysis; image retrieval; image segmentation; image texture; medical image processing; medical information systems; surgery; tumours; MYSQL; SQL; anatomical structure; computer-guided surgery; content-based image retrieval; distributed database environment; image color factor; image shape factor; image texture factor; input query; medical diagnosis; medical image retrieval; pathology; segmentation technique; storage space; text retrieval; tissue volume measurement; treatment planning; tumor location; Biomedical imaging; Distributed databases; Image databases; Image retrieval; Image segmentation; Image storage; Information retrieval; Medical diagnostic imaging; Neoplasms; Shape; Segmentation; edge detection; feature organization; feature representation; filters;
Conference_Titel :
Intelligent Agent & Multi-Agent Systems, 2009. IAMA 2009. International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-4710-7
DOI :
10.1109/IAMA.2009.5228026