DocumentCode :
2162142
Title :
A region based predictor for lossless compression of RNAi images
Author :
Karimi, N. ; Samavi, S. ; Shirani, S. ; Amraee, S. ; Safaryazdi, Z. ; Mahmoodzadeh, E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan
fYear :
2009
fDate :
3-6 May 2009
Firstpage :
987
Lastpage :
990
Abstract :
In this paper a new prediction method is proposed for compression of RNAi images. The large number of RNAi images that are produced, from experiments on biological cells for diagnosis and prognosis of diseases, require special compression methods. Images are segmented so that the boundaries of the cells are recognized from the smooth areas. The proposed scheme adaptively changes its function to exploit the spatial features of the cell boundaries and the smooth regions. The proposed predictor has either better performance and comparable complexity, or it has lower complexity and comparable performance, when compared to the existing predictors for this specific application.
Keywords :
cellular biophysics; data compression; diseases; image coding; macromolecules; RNAi lossless image compression; biological cells; disease diagnosis; disease prognosis; region based predictor; DNA; Genetics; Image coding; Image edge detection; Image generation; Image reconstruction; Image segmentation; Image storage; Microscopy; Prediction methods; Compression; HCS; Predictors; RNAi;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2009. CCECE '09. Canadian Conference on
Conference_Location :
St. John´s, NL
ISSN :
0840-7789
Print_ISBN :
978-1-4244-3509-8
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2009.5090277
Filename :
5090277
Link To Document :
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