Linear Regression Based Global Thresholding

BroadbandCom '09
Publication Type:
Conference Proceeding
Selected Papers on the 4th International Conference On Broadband Communication, Information Technology & Biomedical Applications, 2009, pp. 319 - 324
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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.
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