[HTML][HTML] A new multi-threshold image segmentation approach using state transition algorithm

J Han, C Yang, X Zhou, W Gui - Applied Mathematical Modelling, 2017 - Elsevier
Thresholding plays an important role in image segmentation and image analysis. In this
paper, the normalized histogram of an image is fitted by a linear combined normal …

A new multi-threshold image segmentation approach using state transition algorithm

J Han, C Yang, X Zhou, W Gui - Applied Mathematical Modelling, 2017 - infona.pl
Thresholding plays an important role in image segmentation and image analysis. In this
paper, the normalized histogram of an image is fitted by a linear combined normal …

[PDF][PDF] A new multi-threshold image segmentation approach using state transition algorithm

J Han, C Yang, X Zhou, W Gui - 2017 - faculty.csu.edu.cn
abstract Thresholding plays an important role in image segmentation and image analysis. In
this paper, the normalized histogram of an image is fitted by a linear combined normal …

A multi-threshold image segmentation approach using state transition algorithm

H Jie, Z Xiaojun, Y Chunhua… - 2015 34th Chinese …, 2015 - ieeexplore.ieee.org
Thresholding is an important approach for image segmentation and analysis. In this study,
the combination of normal distribution functions is used to fit the normalized histogram of the …

A multi-threshold image segmentation approach using state transition algorithm

H Jie, Z Xiaojun, Y Chunhua, G Weihua - 2015 34th Chinese Control Conference … - infona.pl
Thresholding is an important approach for image segmentation and analysis. In this study,
the combination of normal distribution functions is used to fit the normalized histogram of the …

[PDF][PDF] A new multi-threshold image segmentation approach using state transition algorithm

J Han, C Yang, X Zhou, W Gui - 2017 - faculty.csu.edu.cn
abstract Thresholding plays an important role in image segmentation and image analysis. In
this paper, the normalized histogram of an image is fitted by a linear combined normal …