Abstract:
A large number of thresholding methods exist. These methods perform differently in various image analysis problems where they are often used locally. They are not as effective globally. Global thresholding is a difficult task in most problems. We highlight a linear regression based global thresholding method that performed well in an engineering problem. This same approach can be used in biomedical applications where the environment is better controlled.
