Fuzzy Clustering Segmentation Algorithm Research on Sports Image
| Autor: | Xiao Yan Zhang, Xue Jiao Dong |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Fuzzy clustering
business.industry Segmentation-based object categorization ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Scale-space segmentation Pattern recognition General Medicine Image segmentation Fuzzy logic ComputingMethodologies_PATTERNRECOGNITION Local search (optimization) Segmentation Artificial intelligence business Cluster analysis Algorithm Mathematics |
| Zdroj: | Applied Mechanics and Materials. 339:297-300 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.339.297 |
| Popis: | In this paper, linking with the basic principle of FCM (Fuzzy c-means clustering) algorithm, on the basis of theory research, a method of the cluster analysis of FCM is proposed. Firstly, the approximate optimal solution obtained by the improved FCM algorithm is taken as the original value of the FCM algorithm, then carrying on the local search to obtain the global optimal solution, the final segmentation result is achieved at last. The experiment results prove that in the view of the flame image segmentation, this method shows the good clustering performance and fast convergence rate, and has the widespread serviceability, so it is the practical method in image segmentation. |
| Databáze: | OpenAIRE |
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