Chengmao Wu
Orcid: 0000-0002-5881-4723Affiliations:
- Xi'an University of Posts and Telecommunications, School of Electronic Engineering, China
According to our database1,
Chengmao Wu
authored at least 30 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
A new approach to incorporate log-local information into improved kernel possibilistic C-means clustering with spatial constraints for image segmentation.
Multim. Tools Appl., October, 2025
An enhanced harmonic fuzzy partition clustering algorithm incorporating a novel membership modification strategy.
J. Supercomput., July, 2025
Possibilistic picture fuzzy product partition C-means clustering incorporating rich local information for medical image segmentation.
Multim. Tools Appl., March, 2025
Fast multiplicative fuzzy partition C-means clustering with a new membership scaling scheme.
Eng. Appl. Artif. Intell., 2025
A novel joint learning framework combining fuzzy C-multiple-means clustering and spectral clustering for superpixel-based image segmentation.
Digit. Signal Process., 2025
A novel multi-means joint learning framework based on fuzzy clustering and self-constrained spectral clustering for superpixel image segmentation.
Comput. Electr. Eng., 2025
2024
Robust Possibilistic Fuzzy Additive Partition Clustering Motivated by Deep Local Information.
Circuits Syst. Signal Process., December, 2024
Robust superpixel-based fuzzy possibilistic clustering method incorporating local information for image segmentation.
Vis. Comput., November, 2024
Quadratic surface center-based possibilistic fuzzy clustering with kernel metric and local information for image segmentation.
Multim. Tools Appl., May, 2024
Robust joint learning of superpixel generation and superpixel-based image segmentation using fuzzy C-multiple-means clustering.
Signal Image Video Process., April, 2024
Reconstruction-Aware Kernelized Fuzzy Clustering Framework Incorporating Local Information for Image Segmentation.
Neural Process. Lett., April, 2024
Robust interval type-2 kernel-based possibilistic fuzzy deep local information clustering driven by Lambert-W function.
Vis. Comput., March, 2024
Master-slave hierarchy local information driven fuzzy C-means clustering for noisy image segmentation.
Vis. Comput., February, 2024
Joint learning framework of superpixel generation and fuzzy sparse subspace clustering for color image segmentation.
Signal Process., 2024
Interval type-2 possibilistic picture C-means clustering incorporating local information for noisy image segmentation.
Digit. Signal Process., 2024
2023
Local feature driven fuzzy local information C-means clustering with kernel metric for blurred and noisy image segmentation.
J. Real Time Image Process., December, 2023
Deep neighborhood structure driven interval type-2 kernel fuzzy c-means clustering with local versus non-local information.
Multim. Tools Appl., November, 2023
Robust dynamic semi-supervised picture fuzzy local information clustering with kernel metric and spatial information for noisy image segmentation.
Multim. Tools Appl., September, 2023
Parameter-Free Auto-Weighted Possibilistic Fuzzy C-Means Clustering with Kernel Metric and Robust Algorithm.
SN Comput. Sci., July, 2023
Vis. Comput., May, 2023
Local Information-Driven Intuitionistic Fuzzy C-Means Algorithm Integrating Total Bregman Divergence and Kernel Metric for Noisy Image Segmentation.
Circuits Syst. Signal Process., March, 2023
Robust interval type-2 kernel-based possibilistic fuzzy clustering algorithm incorporating local and non-local information.
Adv. Eng. Softw., February, 2023
Intuitionistic fuzzy information-driven total Bregman divergence fuzzy clustering with multiple local information constraints for image segmentation.
Vis. Comput., 2023
Robust fuzzy dual-local information clustering with kernel metric and quadratic surface prototype for image segmentation.
Appl. Intell., 2023
2022
A block image encryption algorithm based on a hyperchaotic system and generative adversarial networks.
Multim. Tools Appl., 2022
A self-learning iterative weighted possibilistic fuzzy c-means clustering via adaptive fusion.
Expert Syst. Appl., 2022
A modified fuzzy dual-local information c-mean clustering algorithm using quadratic surface as prototype for image segmentation.
Expert Syst. Appl., 2022
Robust Dynamic Semi-supervised Picture Fuzzy Clustering with KL Divergence and Local Information.
Cogn. Comput., 2022
2021
A robust kernel-based fuzzy local neighborhood clustering with quadratic polynomial-center clusters.
Digit. Signal Process., 2021
A Novel Chaotic Block Image Encryption Algorithm Based on Deep Convolutional Generative Adversarial Networks.
IEEE Access, 2021