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Feature extraction from oil palm in vitro shoot images


Citation

Ismail, Abdul Halim and Marhaban, Mohammad Hamiruce and Mohd Noor, Samsul Bahari and Hashim, Ahmad Tarmizi (2010) Feature extraction from oil palm in vitro shoot images. Journal of Oil Palm Research, 22 (2). pp. 765-773. ISSN 1511-2780

Abstract

The feature extraction techniques are discussed in this article. The algorithms and methods developed are robust and advanced enough to be used in combination with a machine vision algorithm and automation system. The subject under study is oil palm in vitro shoot images. The potential features extracted from the images could be used as a vision sensor to replace human expertise via an automation system. Two main categories of the in vitro shoots could be visually identified, namely the normal and abnormal groups. Image interpretation can categorize the in vitro shoot automatically in its group. The techniques proposed are not influenced by the shape or orientation of the in vitro shoot. The feature vector is plotted to prove the separability of both normal and abnormal in vitro shoots.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: Malaysian Palm Oil Board
Keywords: Oil palm in vitro shoots; Machine vision; Tresholding; Image processing; Feature extraction
Depositing User: Nabilah Mustapa
Date Deposited: 14 Aug 2015 12:32
Last Modified: 28 Sep 2015 01:46
URI: http://psasir.upm.edu.my/id/eprint/14740
Statistic Details: View Download Statistic

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