Research Article
An Optimized Approach for Prostate Image Segmentation Using K-Means Clustering Algorithm with Elbow Method
Table 2
The distribution of pixels in segmented images of dataset 2.
| | Image name | Cluster label | Number of pixels | Pixels ratio (%) |
| | Image 1(a) | Cluster 1 | 38503 | 22.19 | | Cluster 2 | 56362 | 32.48 | | Cluster 3 | 44772 | 25.80 | | Cluster 4 | 33877 | 19.52 |
| | Image 2(b) | Cluster 1 | 29566 | 16.95 | | Cluster 2 | 76779 | 44.00 | | Cluster 3 | 37948 | 21.75 | | Cluster 4 | 30191 | 17.30 |
| | Image 3(c) | Cluster 1 | 56772 | 32.47 | | Cluster 2 | 72832 | 41.66 | | Cluster 3 | 22898 | 13.10 | | Cluster 4 | 22344 | 12.78 |
| | Image 4(d) | Cluster 1 | 32548 | 18.73 | | Cluster 2 | 75774 | 43.61 | | Cluster 3 | 53014 | 30.51 | | Cluster 4 | 12424 | 7.15 |
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