Title :
Image multithresholding based on sample moment function
Author :
Sezgin, Mehmet ; Sankur, Bulent
Author_Institution :
Inf. Technol. Res. Inst., Tubitak Marmara Res. Center, Kocaeli, Turkey
Abstract :
A new multilevel thresholding method is proposed using sample moment function (SMF). For the binary case the method can make use of the a priori information on whether the target object is found on the darker or lighter part of the scene. Extensive comparisons using a database of NDT images show that the proposed method outperforms in competition 40 other thresholding methods from the literature M. Sezgin et al. (2001) (2003), based upon both objective scores and subjective evaluation.
Keywords :
image segmentation; method of moments; nondestructive testing; visual databases; NDT images database; multilevel image thresholding method; sample moment function; target object; Histograms; Image databases; Image segmentation; Information technology; Layout; Nondestructive testing; Pixel; Reflectivity; Shape measurement; Surface texture;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1246705