DocumentCode
2705138
Title
Maximal Locally Linear Similarity of Medical Images Based on Hierarchical DCT
Author
Ding, Guangtai ; Zhu, Chenghu ; Song, Anping
Author_Institution
Sch. of Comput. Eng. & Sci., Shanghai Univ.
fYear
2005
fDate
Oct. 30 2005-Nov. 2 2005
Firstpage
1
Lastpage
4
Abstract
In this paper, using hierarchical DCT, the notation maximal locally linear similarity (MLL similarity for short) is defined and discussed. The intention to the discussion is that MLL similarity can be used to construct a scheme of the vector quantization coding for medical images and images in other application areas
Keywords
discrete cosine transforms; image coding; medical image processing; vector quantisation; hierarchical DCT; maximal locally linear similarity; medical image; vector quantization coding; Biomedical engineering; Biomedical imaging; Discrete cosine transforms; Humans; Image coding; Image databases; Image retrieval; Information retrieval; Matrix decomposition; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Signal Processing, 2005 IEEE 7th Workshop on
Conference_Location
Shanghai
Print_ISBN
0-7803-9288-4
Electronic_ISBN
0-7803-9289-2
Type
conf
DOI
10.1109/MMSP.2005.248609
Filename
4014030
Link To Document