Leaf segmentation, classification, and three-dimensional recovery from a few images with close viewpoints

Chin-Hung Teng; Yi-Ting Kuo; Yung-Sheng Chen

doi:10.1117/1.3549927

1 March 2011 Leaf segmentation, classification, and three-dimensional recovery from a few images with close viewpoints

Chin-Hung Teng, Yi-Ting Kuo, Yung-Sheng Chen

Author Affiliations +

Optical Engineering, Vol. 50, Issue 3, 037003 (March 2011). https://doi.org/10.1117/1.3549927

Abstract

In this paper, we incorporate a set of sophisticated algorithms to implement a leaf segmentation and classification system. This system inherits the advantages of these algorithms while eliminating the difficulties each algorithm faced. Our system can segment leaves from images of live plants with arbitrary image conditions, and classify them against sketched leaf shapes or real leaves. This system can also estimate the three-dimensional (3-D) information of leaves which is not only useful for leaf segmentation but is also beneficial for further 3-D shape recovery. Although our system requires more than one image to reconstruct the 3-D structure of the scene, it has been designed so that only a few images with close viewpoints are sufficient to achieve the task, thus the system is still flexible and easy to use in image acquisition. For leaf classification, we adopt the normalized centroid-contour distance as our classification feature and employ a circular-shift comparing scheme to measure leaf similarity so that the system has the advantage of being invariant to leaf translation, rotation and scaling. We have conducted a series of experiments on many leaf images and the results are encouraging. The leaves can be well segmented and the classification results are also acceptable.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Chin-Hung Teng, Yi-Ting Kuo, and Yung-Sheng Chen "Leaf segmentation, classification, and three-dimensional recovery from a few images with close viewpoints," Optical Engineering 50(3), 037003 (1 March 2011). https://doi.org/10.1117/1.3549927

Published: 1 March 2011

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