Research Article
An Optimized Approach for Prostate Image Segmentation Using K-Means Clustering Algorithm with Elbow Method
Table 1
The distribution of pixels in segmented images of dataset 1.
| Image name | Cluster label | Number of pixels | Pixels ratio (%) |
| Image 1(a) | Cluster 1 | 75570 | 15.53 | Cluster 2 | 96800 | 19.89 | Cluster 3 | 150938 | 31.02 | Cluster 4 | 163313 | 33.56 |
| Image 2(b) | Cluster 1 | 105475 | 21.22 | Cluster 2 | 164569 | 33.10 | Cluster 3 | 148752 | 29.92 | Cluster 4 | 78354 | 15.76 |
| Image 3(c) | Cluster 1 | 101934 | 20.51 | Cluster 2 | 107939 | 21.72 | Cluster 3 | 134534 | 27.07 | Cluster 4 | 152537 | 30.70 |
| Image 4(d) | Cluster 1 | 92620 | 29.02 | Cluster 2 | 106532 | 33.38 | Cluster 3 | 71996 | 22.56 | Cluster 4 | 48004 | 15.04 |
|
|