NDLI: Fuzzy clustering segmentation algorithm research for sport graphics based on artificial life

Content Provider	IEEE Xplore Digital Library
Author	Wei-guo Wang Dong Wang Long Wang
Copyright Year	2012
Description	Author affiliation: Physical department, Hebei University, Baoding 071002, China (Wei-guo Wang; Dong Wang; Long Wang)
Abstract	In this paper, linking with the basic principle of FCM (Fuzzy c-means clustering) algorithm, on the basis of theory research, the segmented partitions emerge when the state of the lives reaches an equilibrium. The artificial life approach is promising in image processing because it is inherently parallel and coincides with the self-governing biological process. Then combined with intensity-texture-position feature space in order to produce connected regions shown in the image, the final segmentation result is achieved at last. The experiment results prove that in the view of the sport image segmentation, this algorithm provides fast segmentation with high perceptual segmentation quality.
Starting Page	1046
Ending Page	1049
File Size	284192
Page Count	4
File Format	PDF
ISBN	9781457714146
e-ISBN	9781457714153
DOI	10.1109/CECNet.2012.6202052
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Graphics Image segmentation Artificial life FCM Clustering algorithms Sport graphics Feature extraction Educational institutions Vectors
Content Type	Text
Resource Type	Article

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