Survey over image thresholding techniques and quantitative performance evaluation

Mehmet Sezgin; Bülent Sankur

doi:10.1117/1.1631315

1 January 2004 Survey over image thresholding techniques and quantitative performance evaluation

Mehmet Sezgin, Bülent Sankur

Journal of Electronic Imaging, Vol. 13, Issue 1, (January 2004). https://doi.org/10.1117/1.1631315

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) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Mehmet Sezgin and Bülent Sankur "Survey over image thresholding techniques and quantitative performance evaluation," Journal of Electronic Imaging 13(1), (1 January 2004). https://doi.org/10.1117/1.1631315

Published: 1 January 2004

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available