Title :
Fast automatic multilevel thresholding method
Author :
Cao, L. ; Shi, Z.K. ; Cheng, E.K.W.
Author_Institution :
Dept. of Autom. Control, Northwestern Polytech. Univ., Xi´´an, China
fDate :
8/1/2002 12:00:00 AM
Abstract :
Previous optimal thresholding methods are popular and efficient in the case of bi-level thresholding but are computationally expensive when extended to multilevel thresholding to optimise the objective functions. Here, a new method for automatic multilevel threshold selection based on the maximum entropy theorem is proposed. The new method has advantages such as greater simplicity, better stabilisation and easier performance compared with some traditional entropy methods, and it calculates thresholds quickly. The approach has been employed to perform image enhancement, segmentation and thresholding, satisfactory results being obtained
Keywords :
image enhancement; image segmentation; maximum entropy methods; bi-level thresholding; fast automatic multilevel thresholding method; image enhancement; image segmentation; image thresholding; maximum entropy theorem; optimal thresholding methods; stabilisation;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20020594