Color Image Segmentation Based on Wavelet Transform and Fuzzy Kernel Clustering

2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)（2020）

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摘要

A color image segmentation algorithm combining multi-resolution of wavelet transform and fuzzy clustering is proposed. Firstly, the mean shift segmentation result is used to initialize the clustering center to speed up the convergence speed of clustering. At the same time, the kernel function is introduced into FCM to form fuzzy kernel clustering (KFCM) to obtain better clustering results. Then, u...

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关键词

Wavelet transforms,Image segmentation,Clustering algorithms,Color,Virtual reality,Complexity theory,Noise measurement

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