Dynamic image segmentation for sport graphics based on fuzzy clustering algorithm

In this paper, a image segmentation algorithm based on fuzzy clustering algorithm are presented. The proposed image segmentation algorithm performs the segmentation in the combined intensity-texture-position feature space in order to produce connected regions that correspond to the real-life objects...

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Bibliographic Details
Main Authors: Xia Wan-Feng, Li Zhan-Ping, Tan Hua
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Classification algorithms
Clustering algorithms
FCM
Feature extraction
Heuristic algorithms
Image analysis
Image segmentation
Pixel
Sport graphics
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Summary:In this paper, a image segmentation algorithm based on fuzzy clustering algorithm are presented. The proposed image segmentation algorithm performs the segmentation in the combined intensity-texture-position feature space in order to produce connected regions that correspond to the real-life objects shown in the image. This segmentation algorithm is applied to reduced versions of the original images in order to speed-up the completion of the segmentation. As shown by experimental evaluation, this novel scheme provides fast segmentation with high perceptual segmentation quality.
ISSN:2160-1283
DOI:10.1109/ICISE.2010.5691993