Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. For technical support, please contact us at We apologize for any inconvenience.
By Topic

Feature Extraction of Edible Oil FTIR Based on Fractal Geometry

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

4 Author(s)
Sun Qiao-chu ; Coll. of Comput. Sci. & Technol., Beijing Univ. of Technol., Beijing, China ; Xiao chuang-bai ; Guo Ben ; Mu Qun-fei

A feature extraction of edible oil FTIR based on fractal geometry is proposed in this paper. Theoretical calculation formulas of fractal dimension are introduced. The calculation method of box-counting dimension based on FTIR is analyzed. We have used the open source computer vision library OpenCV to implement the FTIR of edible vegetable oils fractal dimension calculation algorithm. The result indicates that the FTIR of corn oil and sesame oil can be discriminated effectively by the difference of box-counting dimension.

Published in:

Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on

Date of Conference:

7-9 Dec. 2009