- Tytuł:
- Pseudo Bayesian and Linear Regresssion Global Thresholding
- Autorzy:
- Aboura, K.
- Powiązania:
- https://bibliotekanauki.pl/articles/226162.pdf
- Data publikacji:
- 2010
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
classification
image thresholding
probability
linear regression - Opis:
- 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.
- Źródło:
-
International Journal of Electronics and Telecommunications; 2010, 56, 1; 63-72
2300-1933 - Pojawia się w:
- International Journal of Electronics and Telecommunications
- Dostawca treści:
- Biblioteka Nauki
Artykuł