A multilevel thresholding algorithm using Electrom
2016-08-23
0 0 0
no vote
Other
Earn points
Segmentation is one of the most important tasks in image processing. It
consist in classify the pixels into two or more groups depending on
their intensity levels and a threshold value. The quality of the
segmentation depends on the method applied to select the threshold. The
use of the classical implementations for multilevel thresholding is
computationally expensive since they exhaustively search the best values
to optimize the objective function. Under such conditions, the use of
optimization evolutionary approaches has been extended. The
Electromagnetism Like algorithm (EMO) is an evolutionary method which
mimics the attraction repulsion mechanism among charges to evolve the
members of a population. Different to other algorithms, EMO exhibits
interesting search capabilities whereas maintains a low computational
overhead. In this paper, a multilevel thresholding (MT) algorithm based
on the EMO is introduced. The approach combin
matlab
利用
优化
阈值
分割
算法
Related Source Codes
GMSK Linear Receiver
0
0
no vote
NSGA-II algorithm
0
0
no vote
NSGA-III multi-objective optimization algorithm
0
0
no vote
Compressed sensing example
0
0
no vote
CFAR detector example
0
0
no vote
No comment