Image Thresholding and Analysis

Survey over image thresholding techniques and quantitative performance evaluation

[+] Author Affiliations
Mehmet Sezgin

Tu¨bi?tak Marmara Research Center, Information Technologies Research Institute, Gebze, Kocaeli, Turkey E-mail: sezgin@btae.mam.gov.tr

Bu¨lent Sankur

Bog?azic¸i University, Electric-Electronic Engineering Department, Bebek, I?stanbul, Turkey

J. Electron. Imaging. 13(1), 146-168 (Jan 01, 2004). doi:10.1117/1.1631315
History: Received Feb. 7, 2002; Revised Jan. 23, 2003; Accepted May 27, 2003; Online March 01, 2004
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We conduct an exhaustive survey of image thresholding methods, categorize them, express their formulas under a uniform notation, and finally carry their performance comparison. The thresholding methods are categorized according to the information they are exploiting, such as histogram shape, measurement space clustering, entropy, object attributes, spatial correlation, and local gray-level surface. 40 selected thresholding methods from various categories are compared in the context of nondestructive testing applications as well as for document images. The comparison is based on the combined performance measures. We identify the thresholding algorithms that perform uniformly better over nondestructive testing and document image applications. © 2004 SPIE and IS&T.

© 2004 SPIE and IS&T

Topics

Algorithms

Citation

Mehmet Sezgin and Bu¨lent Sankur
"Survey over image thresholding techniques and quantitative performance evaluation", J. Electron. Imaging. 13(1), 146-168 (Jan 01, 2004). ; http://dx.doi.org/10.1117/1.1631315


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