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     Research Journal of Applied Sciences, Engineering and Technology


Hevea Leaves Boundary Identification based on Morphological Transformation and Edge Detection Features

1Sule Tekkesinoglu, 1Mohd Shafry Mohd Rahim, 2Amjad Rehman, 1Ismail Mat Amin and 3Tanzila Saba
1Faculty of Computing, University Teknologi Malaysia, Skudai, Malaysia
2MIS Department, College of Business Administration, Salman Bin Abdul Aziz University, Alkharj, KSA
3College of Computer and Information Sciences, Prince Sultan University, Riyadh, KSA
Research Journal of Applied Sciences, Engineering and Technology  2014  12:2447-2451
http://dx.doi.org/10.19026/rjaset.7.551  |  © The Author(s) 2014
Received: June 11, 2012  |  Accepted: July 04, 2013  |  Published: March 29, 2014

Abstract

The goal of this study is to present a concept to identify overlapping rubber tree (Hevea brasiliensis-scientific name) leaf boundaries. Basically rubber tree leaves show similarity to each other and they may contain similar information such as color, texture or shape of leaves. In fact rubber tree leaves are naturally in class of palmate leaves, it means that numbers of leaves are joining at their base. So it reflects the information of the position of the leaves whether the leaves are overlapped or separated. Therefore, this unique feature could be used to distinguish particular leaves from others clone to identify the type of trees. This study addresses the problem of identifying the overlapped leaves with complex background. The morphological transformation is often applied in order to obtain the foreground object and the background location as well. However, it does not yield satisfactory results in order to get boundaries information. This study, presents on improved approach to identify boundary of rubber tree leaves based on morphological operation and edge detection methods. The outcome of this fused algorithm exhibits promising results for identifying the leaf boundaries of rubber trees.

Keywords:

Edge detection, image segmentation, morphological transformation, overlapping, rubber tree leaves,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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