Automated algorithm for the identification of artifacts in mottled and noisy images

Onome Augustine Ugbeme; Eli Saber; Wencheng Wu; Kartheek Chandu

doi:10.1117/1.2761920

1 July 2007 Automated algorithm for the identification of artifacts in mottled and noisy images

Onome Augustine Ugbeme; Eli Saber; Wencheng Wu; Kartheek Chandu

Author Affiliations +

J. of Electronic Imaging, 16(3), 033015 (2007). doi:10.1117/1.2761920

Abstract

We describe a method for automatically classifying image-quality defects on printed documents. The proposed approach accepts a scanned image where the defect has been localized a priori and performs several appropriate image processing steps to reveal the region of interest. A mask is then created from the exposed region to identify bright outliers. Morphological reconstruction techniques are then applied to emphasize relevant local attributes. The classification of the defects is accomplished via a customized tree classifier that utilizes size or shape attributes at corresponding nodes to yield appropriate binary decisions. Applications of this process include automated/assisted diagnosis and repair of printers/copiers in the field in a timely fashion. The proposed technique was tested on a database of 276 images of synthetic and real-life defects with 94.95% accuracy.

Citation Download Citation

Onome Augustine Ugbeme, Eli Saber, Wencheng Wu, Kartheek Chandu, "Automated algorithm for the identification of artifacts in mottled and noisy images," Journal of Electronic Imaging 16(3), 033015 (1 July 2007). https://doi.org/10.1117/1.2761920

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

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

Members: $20.00

Non-members: $25.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years