JOURNAL ARTICLE

Research on image segmentation algorithm based on fuzzy clustering

Bo Qu

Year: 2013 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 8878 Pages: 88784I-88784I   Publisher: SPIE

Abstract

Through the depth study on the existing classical FCM algorithms, this paper puts forward a program to improve the FCM algorithm. The improved algorithm introduces the statistical properties of images, thus greatly reducing the amount of data the algorithm processed, to speed up the convergence rate, and the segmentation results with FCM algorithm are exactly the same.

Keywords:
Cluster analysis Image segmentation Computer science Convergence (economics) Segmentation Fuzzy logic Artificial intelligence Algorithm Segmentation-based object categorization Rate of convergence Image (mathematics) Scale-space segmentation Fuzzy clustering Pattern recognition (psychology) Algorithm design Data mining Key (lock)

Metrics

4
Cited By
0.49
FWCI (Field Weighted Citation Impact)
0
Refs
0.72
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Algorithms and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering
Remote Sensing and Land Use
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science
Advanced Measurement and Detection Methods
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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