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.
fDate :
Oct. 30 2005-Nov. 2 2005
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;
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
DOI :
10.1109/MMSP.2005.248609
