Semantic segmentation methods are most suitable if individual objects are either well separated or can easily be separated by post-processing or the area covered by objects is relevant rather than the precise counting and measuring of individual objects.

The methods are as follows:

• Global Thresholding
• Background Subtraction
• Variance-based Thresholding
• Dynamic Thresholding