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
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;
Conference_Titel :
Control Systems and Computer Science (CSCS), 2015 20th International Conference on
Conference_Location :
Bucharest
Print_ISBN :
978-1-4799-1779-2
DOI :
10.1109/CSCS.2015.124
