Image segmentation based on multi-threshold fusion
LYU Hong-li
Abstract：Aiming at the problem that one kind of threshold segmentation algorithms was difficult for differ-ent images for effective segmentation,a multi-threshold algorithm fusion method based on introducing sever-al common threshold segmentation algorithms was presented.This method got a set of thresholds by different algorithms and got a combination of them by organic iterative manner,and defined a reward function to se-lect the optimal threshold.The experiment results showed that this method could be used for different types of image to get optimal threshold value for effective segmentation,eliminate the barriers which the user must have prior knowledge and eliminate the trouble of manually selecting segmentation method.
Keywords：image segmentationthreshold algorithm fusionreward function
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 67-70 )