Variational Level Set Remote Sensing Image Segmentation Algorithm Based on Fuzzy Energy Clustering

2015 
A variational level set remote sensing image segmentation algorithm based on fuzzy energy clustering is proposed. The algorithm preserves the feature of variational level set that can use region and boundary information together, while solving the problems of the method in segmenting remote sensing images with noise that the denoising effect is not obvious and the segmentation accuracy is not high. On the basis of obtaining energy functional minimum level set function evolution equation by the variational method, the optimal membership functions are used continually to get variational level set of fuzzy energy clustering.Experimental simulation and comparison results show that: 1) the image area segmented with this algorithm has obvious gray scale difference and boundary; and 2) the denoising effect is fine and the segmentation accuracy is better than the other algorithms in comparison.
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