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
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;
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
DOI :
10.1109/KAMW.2008.4810517