Scheduled System Maintenance:
On Wednesday, July 29th, IEEE Xplore will undergo scheduled maintenance from 7:00-9:00 AM ET (11:00-13:00 UTC). During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Texture feature extraction based on primitive analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Tan, T.N. ; Dept. of Electr. Eng., Imperial Coll., London, UK ; Constantinides, A.G.

The authors examine feature extraction from textures with weakly coupled primitives. Three simple techniques are presented for primitive extraction. Texture features are defined as means and standard deviations of the first-order distributions of primitive attributes such as area, perimeter, compactness, orientation, eccentricity, color, and contrast. The effectiveness of the extracted texture features is illustrated in the context of texture classification. Experimental results show that the extracted texture features are particularly effective for macro- and regular texture discrimination but not so effective for micro- and more random textures

Published in:

Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on

Date of Conference:

23-26 May 1989