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