Title :
Automatic Optimal Thresholding of Image Data
Author :
Jan Hrubes;Jiri Kozumplik
Author_Institution :
Dept. of Biomedical Engineering, Brno University of Technology, Kolejn? 4, 612 00 Brno, Czech Republic, jan.hrubes@phd.feec.vutbr.cz
fDate :
4/1/2007 12:00:00 AM
Abstract :
This paper deals with automatic image thresholding based on fuzzy entropy definition. It is used to select the fuzzy region of membership function so that an image is able to be transformed into fuzzy domain with maximum fuzzy entropy. Then we are able to divide the fuzzy region and establish the thresholds. For selection of optimal membership function is used genetic algorithm.
Keywords :
"Entropy","Genetic algorithms","Fuzzy sets","Biomedical engineering","Shape","Image segmentation","Gray-scale","Pixel"
Conference_Titel :
Radioelektronika, 2007. 17th International Conference
Print_ISBN :
1-4244-0821-0
DOI :
10.1109/RADIOELEK.2007.371466
