Infrared image segmentation based on multi-information fused fuzzy clustering method for electrical equipment
Serious noise pollution and background interference bring great difficulties to infrared image segmentation of electronic equipment. A novel infrared image segmentation method based on multi-information fused fuzzy clustering method is proposed in this article. Firstly, saliency detection is perform...
Main Authors: | Can Qi, Qingwu Li, Yan Liu, Jinyan Ni, Ruxiang Ma, Zheng Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2020-03-01
|
Series: | International Journal of Advanced Robotic Systems |
Online Access: | https://doi.org/10.1177/1729881420909600 |
Similar Items
-
Research on Infrared Image Segmentation of Electrical Equipment Based on Adaptive Ant Colony Algorithm
by: Yong Hou
Published: (2018-07-01) -
Nucleus segmentation of cervical cytology images based on multi-scale fuzzy clustering algorithm
by: Jinjie Huang, et al.
Published: (2020-01-01) -
Research on Electrical Equipment’s Fault Diagnosis Based on the Improved Support Vector Machine and Fuzzy Clustering
by: Yuling Yan
Published: (2017-07-01) -
An Intuitionistic Kernel-Based Fuzzy C-Means Clustering Algorithm With Local Information for Power Equipment Image Segmentation
by: Fankui Hu, et al.
Published: (2020-01-01) -
POINT CLOUD CLASSIFICATION BY FUSING SUPERVOXEL SEGMENTATION WITH MULTI-SCALE FEATURES
by: W. Ao, et al.
Published: (2019-06-01)