Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 12:00 PM ET (12:00 - 16:00 UTC). We apologize for the inconvenience.
By Topic

Fractal features and fuzzy clustering based tree leaf segmentation from images with the complex background

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)
Wenping Liu ; Sch. of Inf., Beijing Forestry Univ., Beijing, China ; Yingde He

This paper proposes a new method based on texture and color features to automatically segment the tree leaf from images with the complex background. The tree leaf usually has regular textures while natural background has random textures. Therefore, the local fractal dimension is used as texture features to distinguish the texture difference between the tree leaf and natural background. However, when the background of leaf is rough, the features of the background and the tree leaf might be too close. In this case, the color based fuzzy clustering approach is utilized to segment the leaf image. Experimental results demonstrate the reliability and validity of the proposed algorithm in this paper.

Published in:

Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on  (Volume:6 )

Date of Conference:

24-26 Aug. 2010