Chengmao Wu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 54

Top Topics

Image Segmentation

Spatial Information

Gustafson Kessel

Top Venues

Digit. Signal Process.

计算机科学

Multim. Tools Appl.

Publications

Chengmao Wu, Jiale Zhang
One-Step Joint Learning of Self-Supervised Spectral Clustering With Anchor Graph and Fuzzy Clustering for Land Cover Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Chengmao Wu, Zeren Wang
Quadratic surface center-based possibilistic fuzzy clustering with kernel metric and local information for image segmentation. Multim. Tools Appl. 83 (15) (2024)
Chengmao Wu, Jingtian Zhao
Robust joint learning of superpixel generation and superpixel-based image segmentation using fuzzy C-multiple-means clustering. Signal Image Video Process. 18 (3) (2024)
Chengmao Wu, Meng Li
Generalized multiplicative fuzzy possibilistic product partition C-means clustering. Inf. Sci. 670 (2024)
Chengmao Wu, Tairong Liu
Interval type-2 possibilistic picture C-means clustering incorporating local information for noisy image segmentation. Digit. Signal Process. 149 (2024)
Chengmao Wu, Siyun Peng, Xialu Zhang
Robust interval type-2 kernel-based possibilistic fuzzy deep local information clustering driven by Lambert-W function. Vis. Comput. 40 (3) (2024)
Chengmao Wu, Xiao Qi
Reconstruction-Aware Kernelized Fuzzy Clustering Framework Incorporating Local Information for Image Segmentation. Neural Process. Lett. 56 (2) (2024)
Chengmao Wu, Jingtian Zhao
Joint learning framework of superpixel generation and fuzzy sparse subspace clustering for color image segmentation. Signal Process. 222 (2024)
Chengmao Wu, Wen Wu
Master-slave hierarchy local information driven fuzzy C-means clustering for noisy image segmentation. Vis. Comput. 40 (2) (2024)
Pengfei Fang, Han Liu, Chengmao Wu, Min Liu
A survey of image encryption algorithms based on chaotic system. Vis. Comput. 39 (5) (2023)
Chengmao Wu, Xiaokang Guo
Adaptive enhanced interval type-2 possibilistic fuzzy local information clustering with dual-distance for land cover classification. Eng. Appl. Artif. Intell. 119 (2023)
Chengmao Wu, Jiajia Zhang, Congcong Huang
Robust dynamic semi-supervised picture fuzzy local information clustering with kernel metric and spatial information for noisy image segmentation. Multim. Tools Appl. 82 (21) (2023)
Chengmao Wu, Dongxue Yu
Generalized possibilistic c-means clustering with double weighting exponents. Inf. Sci. 645 (2023)
Chengmao Wu, Siyun Peng
Robust interval type-2 kernel-based possibilistic fuzzy clustering algorithm incorporating local and non-local information. Adv. Eng. Softw. 176 (2023)
Chengmao Wu, Zeren Wang
Robust fuzzy dual-local information clustering with kernel metric and quadratic surface prototype for image segmentation. Appl. Intell. 53 (3) (2023)
Lujia Lei, Chengmao Wu, Xiaoping Tian
Robust deep kernel-based fuzzy clustering with spatial information for image segmentation. Appl. Intell. 53 (1) (2023)
Chengmao Wu, Siyun Peng
Deep neighborhood structure driven interval type-2 kernel fuzzy c-means clustering with local versus non-local information. Multim. Tools Appl. 82 (28) (2023)
Chengmao Wu, Xiao Qi
Local feature driven fuzzy local information C-means clustering with kernel metric for blurred and noisy image segmentation. J. Real Time Image Process. 20 (6) (2023)
Chengmao Wu, Congcong Huang, Jiajia Zhang
Intuitionistic fuzzy information-driven total Bregman divergence fuzzy clustering with multiple local information constraints for image segmentation. Vis. Comput. 39 (1) (2023)
Chengmao Wu, Congcong Huang, Jiajia Zhang
Local Information-Driven Intuitionistic Fuzzy C-Means Algorithm Integrating Total Bregman Divergence and Kernel Metric for Noisy Image Segmentation. Circuits Syst. Signal Process. 42 (3) (2023)
Chengmao Wu, Xialu Zhang, Shuai Yan
Parameter-Free Auto-Weighted Possibilistic Fuzzy C-Means Clustering with Kernel Metric and Robust Algorithm. SN Comput. Sci. 4 (4) (2023)
Han Liu, Chengmao Wu, Changxing Li, Yanqun Zuo
Fast robust fuzzy clustering based on bipartite graph for hyper-spectral image classification. IET Image Process. 16 (13) (2022)
Chengmao Wu, Zeren Wang
A modified fuzzy dual-local information c-mean clustering algorithm using quadratic surface as prototype for image segmentation. Expert Syst. Appl. 201 (2022)
Chengmao Wu, Xiaokang Guo
A novel interval-valued data driven type-2 possibilistic local information c-means clustering for land cover classification. Int. J. Approx. Reason. 148 (2022)
Chengmao Wu, Jiajia Zhang
Robust semi-supervised spatial picture fuzzy clustering with local membership and KL-divergence for image segmentation. Int. J. Mach. Learn. Cybern. 13 (4) (2022)
Chengmao Wu, Xue Zhang
A Novel Kernelized Total Bregman Divergence-Driven Possibilistic Fuzzy Clustering With Multiple Information Constraints for Image Segmentation. IEEE Trans. Fuzzy Syst. 30 (6) (2022)
Qiuyu Song, Chengmao Wu, Xiaoping Tian, Yue Song, Xiaokang Guo
A novel self-learning weighted fuzzy local information clustering algorithm integrating local and non-local spatial information for noise image segmentation. Appl. Intell. 52 (6) (2022)
Pengfei Fang, Han Liu, Chengmao Wu, Min Liu
A block image encryption algorithm based on a hyperchaotic system and generative adversarial networks. Multim. Tools Appl. 81 (15) (2022)
Chengmao Wu, Xialu Zhang
A self-learning iterative weighted possibilistic fuzzy c-means clustering via adaptive fusion. Expert Syst. Appl. 209 (2022)
Chenchen Liu, Chengmao Wu
Transmission Efficiency Analysis and Data Calculation of vue.js Component in Front and Back Interaction Process. CIPAE (2022)
Qiuyu Song, Chengmao Wu, Xiaoping Tian, Yue Song, Xiaokang Guo
Kernel-based fuzzy local information clustering algorithm self-integrating non-local information. Digit. Signal Process. 122 (2022)
Chengmao Wu, Xue Zhang
Total Bregman divergence-driven possibilistic fuzzy clustering with kernel metric and local information for grayscale image segmentation. Pattern Recognit. 128 (2022)
Zhenxian Lin, Jiagang Wang, Chengmao Wu
Robust Spectral Clustering Incorporating Statistical Sub-Graph Affinity Model. Axioms 11 (6) (2022)
Chengmao Wu, Jiajia Zhang, Congcong Huang, Xiaokang Guo
Robust Dynamic Semi-supervised Picture Fuzzy Clustering with KL Divergence and Local Information. Cogn. Comput. 14 (3) (2022)
Pengfei Fang, Han Liu, Chengmao Wu
A Novel Chaotic Block Image Encryption Algorithm Based on Deep Convolutional Generative Adversarial Networks. IEEE Access 9 (2021)
Chengmao Wu, Zeren Wang
A robust kernel-based fuzzy local neighborhood clustering with quadratic polynomial-center clusters. Digit. Signal Process. 118 (2021)
Chengmao Wu, Zhuo Cao
Noise distance driven fuzzy clustering based on adaptive weighted local information and entropy-like divergence kernel for robust image segmentation. Digit. Signal Process. 111 (2021)
Chengmao Wu, Zhuo Cao
Entropy-like Divergence Based Kernel Fuzzy Clustering for Robust Image Segmentation. Expert Syst. Appl. 169 (2021)
Chengmao Wu, Na Liu
Suppressed robust picture fuzzy clustering for image segmentation. Soft Comput. 25 (5) (2021)
Chengmao Wu, Zhiqin Kang
Robust entropy-based symmetric regularized picture fuzzy clustering for image segmentation. Digit. Signal Process. 110 (2021)
Chengmao Wu, Xiaokang Guo
A Novel Single Fuzzifier Interval Type-2 Fuzzy C-Means Clustering With Local Information for Land-Cover Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Chengmao Wu, Xue Zhang
A novel kernelized total Bregman divergence-based fuzzy clustering with local information for image segmentation. Int. J. Approx. Reason. 136 (2021)
Chao Kang, Chengmao Wu, Jiulun Fan
Entropy-based circular histogram thresholding for color image segmentation. Signal Image Video Process. 15 (1) (2021)
Chengmao Wu, Yan Chen
Adaptive entropy weighted picture fuzzy clustering algorithm with spatial information for image segmentation. Appl. Soft Comput. 86 (2020)
Chao Kang, Chengmao Wu, Jiulun Fan
Lorenz Curve-Based Entropy Thresholding on Circular Histogram. IEEE Access 8 (2020)
Chengmao Wu, Xiaoqiang Yang
Robust credibilistic intuitionistic fuzzy clustering for image segmentation. Soft Comput. 24 (14) (2020)
Chengmao Wu, Na Liu
Robust Suppressed Competitive Picture Fuzzy Clustering Driven by Entropy. Int. J. Fuzzy Syst. 22 (8) (2020)
Chengmao Wu, Xue Zhang
Total Bregman divergence-based fuzzy local information C-means clustering for robust image segmentation. Appl. Soft Comput. 94 (2020)
Chengmao Wu, Xiaoqiang Yang
Robust credibilistic fuzzy local information clustering with spatial information constraints. Digit. Signal Process. 97 (2020)
Qiannan Cui, Xiaoping Tian, Chengmao Wu
基于引导滤波改进的暗原色去雾算法 (Improved Algorithm of Haze Removal Based on Guided Filtering and Dark Channel Prior). 计算机科学 45 (5) (2018)
Xiaofan Hou, Chengmao Wu
一种快速的模糊局部C-均值聚类分割算法 (Fast Fuzzy Local Information C-means Clustering Segmentation Algorithm). 计算机科学 43 (10) (2016)
Mengjiao Liu, Chengmao Wu
一种改进的局部模糊C-均值聚类分割算法研究 (Research on Improved Local Fuzzy C-means Clustering Segmentation Algorithm). 计算机科学 42 (Z6) (2015)
Xiaorong Zhang, Chengmao Wu, Wenxue Li
基于混沌与自编码相融合的扩频码构造方法 (Method of Constructing Spread-spectrum Code Based on Chaos and Self-coded). 计算机科学 42 (3) (2015)
Jice Wang, Chengmao Wu
基于全散度的变分CV模型及其分割算法 (Variational CV Model Based on Total Bregman Divergence and its Segmentation Algorithm). 计算机科学 42 (4) (2015)