activity
20182022
most citedFuzzy SLIC: Fuzzy Simple Linear Iterative Clustering

58 citations · 68 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2022

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…

cs.CV2019

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.…

cs.CV2019★ 4 cited

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…

eess.IV2019★ 6 cited

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…

eess.IV2018★ 58 cited

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…