DocumentCode :
648863
Title :
Reaction-diffusion cellular nonlinear networks for feature enhancement in dermatoscopic images
Author :
Dumitrache, Ioana ; Sultana, Ayesha ; Dogaru, Radu
Author_Institution :
Doctoral Sch. on Electron., Telecommun. & Inf. Technol., Univ. Politeh. Bucharest, Bucharest, Romania
fYear :
2013
fDate :
11-13 Oct. 2013
Firstpage :
1
Lastpage :
4
Abstract :
Reaction-diffusion cellular neural networks have been studied because of their properties regarding processing time and capability of integration. The possibility of using them in image preprocessing and/or processing and the advantages and disadvantages of doing that are analyzed. The main objective is to find suitable sets of parameters (genes) that can enhance some useful properties of a dermatoscopic image. These properties should later help in processing and classifying images into healthy or suspect.
Keywords :
biomedical optical imaging; medical image processing; neural nets; reaction-diffusion systems; skin; dermatoscopic images; feature enhancement; image preprocessing; image processing; integration capability; processing time; reaction-diffusion cellular neural networks; reaction-diffusion cellular nonlinear networks; Image processing; cellular neural networks; medical image processing; nonlinear dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Electronics Engineering (ISEEE), 2013 4th International Symposium on
Conference_Location :
Galati
Type :
conf
DOI :
10.1109/ISEEE.2013.6674314
Filename :
6674314
Link To Document :
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