DocumentCode
3146820
Title
Tag-Matrix Storage Mode Using in Non-Symmetry Anti-Packing Pattern Representation Model
Author
Hu Weijun ; Wan Lin ; Peng Junjie
Author_Institution
Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2010
fDate
18-20 June 2010
Firstpage
1
Lastpage
4
Abstract
With the development of medical treatment, various kinds of medical images become more and more important. The traditional hierarchical structural image representation methods put too much emphasis upon the symmetry of segmentation, they are not the optimal image representation methods. DNAM-based multi-valued image presentation method has not only better compression ability but also has better reconstruction quality. On the basis of the DNAM method, a new storage structure is presented in this paper. By describing dNAM, the coding and decoding algorithms of tag-matrix storage mode are given. The complexity of the algorithm is analyzed. According to the theoretical analysis and the result of the experiment, comparing with the traditional NAM storage mode, the tag-matrix storage structure has obvious advantages. The method is valuable for the medical image representation.
Keywords
data compression; image coding; image reconstruction; image representation; image segmentation; medical image processing; DNAM-based multi-valued image presentation; algorithm complexity; compression; hierarchical structural image representation; medical image representation; nonsymmetry anti-packing pattern representation model; reconstruction; segmentation; tag-matrix storage mode; Biomedical imaging; Data structures; Decoding; Encoding; Image coding; Image reconstruction; Image representation; Image storage; Medical treatment; Protocols;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location
Chengdu
ISSN
2151-7614
Print_ISBN
978-1-4244-4712-1
Electronic_ISBN
2151-7614
Type
conf
DOI
10.1109/ICBBE.2010.5517775
Filename
5517775
Link To Document