Thresholding Based on Fisher Linear Discriminant

Gamil Sayed Abdel-Azim, Zaher A. Abo-Eleneen
2011 Journal of Pattern Recognition Research  
In this paper, a new thresholding objective function is formulated for segmenting small object based on histogram projection by Fisher discrimination. The proposed method determines the optimal threshold is selected by the Fisher discriminant criterion; namely, by maximizing the measure of separability of the resultant classes in gray levels. The method was compared with several classic thresholding methods on a variety of small medicals images, and the experimental results show the
more » ... how the effectiveness of the method.
doi:10.13176/11.295 fatcat:o7vozz7l4ffrtjcgumb6bajs2y