DocumentCode
726898
Title
Feature Extraction from the Contour of Skin Lesions Using Box Counting Principle
Author
Dumitrache, Ioana ; Sultana, Alina-Elena ; Dogaru, Radu
Author_Institution
Doctoral Sch. on Electron., Telecommun. & Inf. Technol., Univ. “Politeh.”, Bucharest, Romania
fYear
2015
fDate
27-29 May 2015
Firstpage
548
Lastpage
553
Abstract
An automated dermoscopy system requires careful data processing and selection of the features used for the classification of images. Steps towards higher degree of integration are made by introducing natural computing techniques of image preprocessing. For feature selection a technique inspired by fractal box counting principle is presented. Nevi classification using this feature show promising results.
Keywords
feature extraction; feature selection; image classification; medical image processing; skin; automated dermoscopy system; data processing; feature extraction; feature selection; fractal box counting principle; image classification; image preprocessing; integration degree; natural computing techniques; skin lesion contour; Automata; Databases; Fractals; Image resolution; Lesions; Linear regression; Skin; SVM; automated dermoscopy; box counting; cellular automata; classification; image processing; natural computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Systems and Computer Science (CSCS), 2015 20th International Conference on
Conference_Location
Bucharest
Print_ISBN
978-1-4799-1779-2
Type
conf
DOI
10.1109/CSCS.2015.124
Filename
7168481
Link To Document