<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The Fuzzy C-Mean clustering (FCM) algorithm is an effective image segmentation algorithm which combines the clustering of non-supervised and the idea of the blurry aggregate, it is widely applied to image segmentation, but it has many problems, such as great amount of calculation, being sensitive to initial data values and noise in images, and being vulnerable to fall into the shortcoming of local optimization. To conquer the problems of FCM, the algorithm of fuzzy clustering based on Particle Swarm Optimization (PSO) was proposed, this article first uses the PSO algorithm of a powerful global search capability to optimize FCM centers, and then uses this center to partition the images, the speed of the image segmentation was boosted and the segmentation accuracy was improved. The results of the experiments show that the PSO-FCM algorithm can effectively avoid the disadvantage of FCM, boost the speed and get a better image segmentation result.</p></abstract>

The Fuzzy C-Mean clustering (FCM) algorithm is an effective image segmentation algorithm which combines the clustering of non-supervised and the idea of the blurry aggregate, it is widely applied to image segmentation, but it has many problems, such as great amount of calculation, being sensitive to initial data values and noise in images, and being vulnerable to fall into the shortcoming of local optimization. To conquer the problems of FCM, the algorithm of fuzzy clustering based on Particle Swarm Optimization (PSO) was proposed, this article first uses the PSO algorithm of a powerful global search capability to optimize FCM centers, and then uses this center to partition the images, the speed of the image segmentation was boosted and the segmentation accuracy was improved. The results of the experiments show that the PSO-FCM algorithm can effectively avoid the disadvantage of FCM, boost the speed and get a better image segmentation result.

Image Segmentation of Thermal Waving Inspection based on Particle Swarm Optimization Fuzzy Clustering Algorithm

602 office, Xi’an Research Institute of High Technology, Hongqing Town, Xi’an 710025, China

China Aerodynamics Research and Development Center, Mianyang 621000, China

Measurement Science Review

The Fuzzy C-Mean clustering (FCM) algorithm is an effective image segmentation algorithm which combines the clustering of non-supervised and the idea of the...

Image Segmentation of Thermal Waving Inspection based on Particle Swarm Optimization Fuzzy Clustering Algorithm

Publié en ligne: 15 déc. 2012

Pages: 296 - 301

DOI: https://doi.org/10.2478/v10048-012-0041-6

Mots clés
Image segmentation, thermal wave inspection, particle swarm optimization, fuzzy C-Mean clustering algorithm

This content is open access.

Image Segmentation of Thermal Waving Inspection based on Particle Swarm Optimization Fuzzy Clustering Algorithm

Publié en ligne: 15 déc. 2012

Pages: 296 - 301

DOI: https://doi.org/10.2478/v10048-012-0041-6

Mots clésImage segmentation, thermal wave inspection, particle swarm optimization, fuzzy C-Mean clustering algorithm

This content is open access.

Mots clés
Image segmentation, thermal wave inspection, particle swarm optimization, fuzzy C-Mean clustering algorithm