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