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Found 3 papers, 2 papers with code
Graph Neural Network and Superpixel Based Brain Tissue Segmentation (Corrected Version)
Convolutional neural networks (CNNs) are usually used as a backbone to design methods in biomedical image segmentation.
A novel centroid update approach for clustering-based superpixel methods and superpixel-based edge detection
Then according to the statistical features of noise, we propose a novel centroid update approach to enhance the robustness of clustering-based superpixel methods.
NAMF: A Non-local Adaptive Mean Filter for Salt-and-Pepper Noise Removal
In this paper, a novel algorithm called a non-local adaptive mean filter (NAMF) for removing salt-and-pepper (SAP) noise from corrupted images is presented.
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