DocumentCode :
3304989
Title :
Cell Image Matching Based on Fractal Neighbor Distance
Author :
Ji, Guangrong ; Zheng, Haiyong ; Liu, Zhaolei ; Ren, Xiufang
Author_Institution :
Dept. of Electr. Eng., Ocean Univ. of China, Qingdao
Volume :
4
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
609
Lastpage :
612
Abstract :
Based on fractal image coding and fractal neighbor distance (FND), a new method for cell image matching is proposed in this paper. The standard cell image is divided into image blocks with the same size of the object image block, then they are encoded and decoded by fractal in turn. The most optimal matching can be found according to the minimal FND. As the basic research for cell image recognition, this image matching algorithm is proved available and effective by the experiments results.
Keywords :
cellular biophysics; fractals; image coding; image matching; medical image processing; cell image matching; cell image recognition; fractal image coding; fractal neighbor distance; image matching algorithm; object image block; optimal matching; Aerospace engineering; Decoding; Equations; Extraterrestrial measurements; Fractals; Image coding; Image matching; Image recognition; Oceans; Optimal matching; Cell Image Recognition; Fractal Image Coding; Fractal Neighbor Distance (FND); Image Matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.399
Filename :
4667356
Link To Document :
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