Abstract
In this paper, novel Image Segmentation (IS) and feature extraction approaches based on Fuzzy Clustering (FC) and Lattice Boltzmann
(LB) methods for segmentation step and Grey Level Difference Method (GLDM) method for feature extraction step are proposed. From the
experimental results, the performance of our proposed method superior in terms of effectiveness and speed.
| Original language | English |
|---|---|
| Pages (from-to) | 1-5 |
| Journal | Journal of Soft Computing and Decision Support Systems |
| Volume | 7 |
| Issue number | 3 |
| Early online date | 15 Mar 2020 |
| Publication status | Published - 30 Jun 2020 |
Keywords
- Fuzzy clustering
- image segmentation
- lattice Boltzmann
- feature extraction
- Computer science and informatics