Image Segmentation Technology of the Ostu Method for Image Materials Based on Binary PSO Algorithm

2011 ◽  
pp. 415-419 ◽  
Author(s):  
Shuo Liu
Keyword(s):  
Image Segmentation ◽  
Pso Algorithm ◽  
Binary Pso

A Novel Hybrid Binary PSO Algorithm

2011 ◽  
pp. 93-100 ◽  
Author(s):  
Muhammd Ilyas Menhas ◽  
MinRui Fei ◽  
Ling Wang ◽  
Xiping Fu
Keyword(s):  
Pso Algorithm ◽  
Binary Pso

Binary PSO algorithm assisted to investigate the optical sensor based plasmonic nano-bi-domes

Optik ◽  
2016 ◽  
Vol 127 (19) ◽  
pp. 7670-7675 ◽  
Author(s):  
Rasul Keshavarzi ◽  
Majid Akhlaghi ◽  
Farzin Emami
Keyword(s):  
Optical Sensor ◽  
Pso Algorithm ◽  
Binary Pso

Image Segmentation Based on Least Squares Support Vector Machines

2014 ◽  
Vol 644-650 ◽  
pp. 4314-4318
Author(s):  
Xin You Wang ◽  
Ya Li Ning ◽  
Xi Ping He
Keyword(s):  
Image Segmentation ◽  
Support Vector Machines ◽  
Least Squares ◽  
Color Image ◽  
Pso Algorithm ◽  
Kernel Functions ◽  
Color Image Segmentation ◽  
Support Vector ◽  
Standard Data ◽  
Vector Machines

In order to solve the problem of the conventional methods operated directly in the image, difficult to obtain good results because they are poor in high dimension performance. In this paper, a new method was proposed, which use the Least Squares Support Vector Machines in image segmentation. Furthermore, the parameters of kernel functions are also be optimized by Particle Swarm Optimization (PSO) algorithm. The practical application in various of standard data sets and color image segmentation experiment. The results show that, LS-SVM can use a variety of features in image, the experiments have achieved good results of image segmentation, and the time needed for segmentation is greatly reduced than standard SVM.

Sign in / Sign up

Export Citation Format

Share Document