5 papers
Graph Neural Network and Superpixel Based Brain Tissue Segmentation (Corrected Version)
Chong Wu, Zhenan Feng, Houwang Zhang +1
Convolutional neural networks (CNNs) are usually used as a backbone to design methods in biomedical image segmentation. However, the limitation of receptive field and large number…
A novel centroid update approach for clustering-based superpixel methods and superpixel-based edge detection
Houwang Zhang, Chong Wu, Le Zhang +1
Superpixel is widely used in image processing. And among the methods for superpixel generation, clustering-based methods have a high speed and a good performance at the same time.…
NAMF: A Non-local Adaptive Mean Filter for Salt-and-Pepper Noise Removal
Houwang Zhang, Yuan Zhu, Hanying Zheng
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. We employ an efficient…
Superpixel Tensor Pooling for Visual Tracking using Multiple Midlevel Visual Cues Fusion
Chong Wu, Le Zhang, Jiawang Cao +1
In this paper, we propose a method called superpixel tensor pooling tracker which can fuse multiple midlevel cues captured by superpixels into sparse pooled tensor features. Our me…
Fuzzy SLIC: Fuzzy Simple Linear Iterative Clustering
Chong Wu, Jiangbin Zheng, Zhenan Feng +4
Most superpixel methods are sensitive to noise and cannot control the superpixel number precisely. To solve these problems, in this paper, we propose a robust superpixel method cal…