TY  - JOUR
T1  - Performance Comparison of Thresholding Algorithms on Uneven Illuminated Image
AU - , Abdulkadir Seng?r AU - , Ibrahim T AU - , rkoglu AU - , M. Cevdetince 
JO  - Asian Journal of Information Technology
VL  - 3
IS  - 10
SP  - 981
EP  - 984
PY  - 2004
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2004.981.984
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2004.981.984
KW  - 
AB  - This study introduces the histogram thresholding approaches, explains its principals, advantages and disadvantages, and its uses. Thresholding is one of the old, simple and popular techniques for image segmentation. Here, three different thresholding algorithms are examined. These are global thresholding, adaptive thresholding and global adaptive thresholding methods. The effects of the examined thresholding methods and segmentation yields are compared with an application based on computer simulations over uneven illuminated images.
ER  -