Title :
Knowledge-based system for medical image compression
Author :
Nooman, M. ; Mohamed, Abdalla S A ; Rasmy, M.E.
Author_Institution :
Dept. of Syst. & Biomed. Eng., Cairo Univ., Gize, Egypt
Abstract :
Presents a way of systemic knowledge modelling representing objective medical image knowledge and compression for picture archiving and communication. A novel encoder model is proposed such that high compression ratio and acceptable visual perception are achieved. The developed knowledge-base system is designed to deal with selecting the suitable structure for the encoder model such that the above criteria are realized
Keywords :
PACS; data compression; image coding; knowledge based systems; medical image processing; PACS; encoder model; knowledge-base system; medical image compression; objective medical image knowledge; picture archiving; picture communication; systemic knowledge modelling; visual perception; Biomedical engineering; Biomedical imaging; Image coding; Image generation; Image storage; Knowledge based systems; Quantization; Redundancy; Statistics; Visual perception;
Conference_Titel :
Computer-Based Medical Systems, 1992. Proceedings., Fifth Annual IEEE Symposium on
Conference_Location :
Durham, NC
Print_ISBN :
0-8186-2742-5
DOI :
10.1109/CBMS.1992.244999
