DocumentCode
3097779
Title
An Improved Approach for Cell Image Recognition based on Fractal Coding and Fractal Singular Value Neighbor Distance
Author
Shi, Shanshan ; Ji, Guangrong ; Zheng, Haiyong
Author_Institution
Dept. of Electron. Eng., Ocean Univ. of China, Qingdao
fYear
2008
fDate
21-22 Dec. 2008
Firstpage
432
Lastpage
435
Abstract
Based on fractal coding and fractal singular value neighbor distance, an improved approach for cell image recognition is proposed in this paper. Fractal singular value neighbor distance is brought forward based on fractal neighbor distance and singular value decomposition. Fractal coding and local singular value decomposition are used to improve the recognition rate. The experimental results show that the method can keep a good robustness to the variation of illumination, pose and expression, compared with traditional fractal neighbor distances. Furthermore, the method shows that the training time is short and recognition rate is high.
Keywords
biology computing; image coding; image recognition; singular value decomposition; cell image recognition; fractal coding; fractal singular value neighbor distance; singular value decomposition; Extraterrestrial measurements; Forward contracts; Fractals; Geometry; Image coding; Image recognition; Object recognition; Oceans; Robustness; Singular value decomposition; Cell image recognition; Fractal coding; Fractal neighbor distance; Fractal singular value neighbor distance; Singular value decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-3530-2
Electronic_ISBN
978-1-4244-3531-9
Type
conf
DOI
10.1109/KAMW.2008.4810517
Filename
4810517
Link To Document