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Abstract
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Article Information:
Hevea Leaves Boundary Identification based on Morphological Transformation and Edge Detection Features
Sule Tekkesinoglu, Mohd Shafry Mohd Rahim, Amjad Rehman, Ismail Mat Amin and Tanzila Saba
Corresponding Author: Sule Tekkesinoglu
Submitted: June 11, 2012
Accepted: July 04, 2013
Published: March 29, 2014 |
Abstract:
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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.
Key words: Edge detection, image segmentation, morphological transformation, overlapping, rubber tree leaves , ,
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Cite this Reference:
Sule Tekkesinoglu, Mohd Shafry Mohd Rahim, Amjad Rehman, Ismail Mat Amin and Tanzila Saba , . Hevea Leaves Boundary Identification based on Morphological Transformation and Edge Detection Features. Research Journal of Applied Sciences, Engineering and Technology, (12): 2447-2451.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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