DocumentCode :
2676810
Title :
Maximum entropy thresholding segmentation research in 3D images
Author :
Mingdong, Li ; Ding, Peng ; Ziyang, Xing
Author_Institution :
China West Normal Univ., Nanchong, China
Volume :
5
fYear :
2010
fDate :
27-29 March 2010
Firstpage :
45
Lastpage :
48
Abstract :
Aiming at the problems such as long executive time, and extremal extreme extremely complex when using image segmentation method to seek Threshold,a novel 3D maximum entropy image segmentation method is proposed, which uses the threshold of 3D image of the global search space, and takes the gray scale value of prixel and the gray scale mean value of region corresponding to 3D maximum entropy value as the threshold for image segmentation. The experimental results show this method has some advantage in aspects of executive time and astringency.
Keywords :
entropy; image segmentation; search problems; 3D maximum entropy image segmentation method; global search space; maximum entropy thresholding segmentation; Background noise; Computational complexity; Entropy; Fuzzy sets; Gray-scale; Histograms; Image segmentation; Pixel; Scattering; Security; 3D fuzzy maximum entropy; Image segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
Type :
conf
DOI :
10.1109/ICACC.2010.5486985
Filename :
5486985
Link To Document :
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