Pseudo Bayesian and Linear Regresssion Global Thresholding

• Autorzy: Aboura K.
• Języki publikacji: EN

Abstrakty

EN

Classification is an important task in image analysis. Simply recognizing an object in an image can be a daunting step for a computer algorithm. The methodologies are often simple but rely heavily on the thresholding of the image. The operation of turning a color or gray-scale image into a black and white image is a determining step in the effectiveness of a solution. Thresholding methods perform differently in various problems where they are often used locally. Global thresholding is a difficult task in most problems. We highlight a pseudo Bayesian and a linear regression global thresholding methods that performed well in an engineering problem. The same approaches can be used in biomedical applications where the environment is better controlled.

Słowa kluczowe

EN

classification; image thresholding; probability; linear regression

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2010
• Tom: Vol. 56, No. 1
• Strony: 63--72
• Opis fizyczny: Bibliogr. 32 poz., il., rys.

Twórcy

autor

Aboura K.

• School of Civil and Environmental Engineering, University of Technology Sydney, 15 Broadway, Ultimo, NSW 2007 Australia,

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