Name
Title | ||
|---|---|---|
Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering. |
Abstract | ||
|---|---|---|
As fuzzy c-means clustering (FCM) algorithm is sensitive to noise, local spatial information is often introduced to an objective function to improve the robustness of the FCM algorithm for image segmentation. However, the introduction of local spatial information often leads to a high computational complexity, arising out of an iterative calculation of the distance between pixels within local spat... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TFUZZ.2018.2796074 | IEEE Transactions on Fuzzy Systems |
Keywords | Field | DocType |
Clustering algorithms,Image segmentation,Robustness,Linear programming,Computational complexity,Partitioning algorithms,Electronic mail | Spatial analysis,Pattern recognition,Fuzzy logic,Filter (signal processing),Image segmentation,Robustness (computer science),Artificial intelligence,Pixel,Cluster analysis,Mathematics,Machine learning,Computational complexity theory | Journal |
Volume | Issue | ISSN |
26 | 5 | 1063-6706 |
Citations | PageRank | References |
29 | 0.87 | 29 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tao Lei | 1 | 97 | 20.24 |
| Xiaohong Jia | 2 | 54 | 2.86 |
| Yanning Zhang | 3 | 1613 | 176.32 |
| Lifeng He | 4 | 441 | 40.97 |
| Hongying Meng | 5 | 832 | 69.39 |
| Asoke K Nandi | 6 | 59 | 2.95 |