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Erschienen in:
Efficiency and Effectiveness Metrics in Evolutionary Algorithms and Their Application Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

Implementation of Plant Leaf Recognition System on ARM Tablet Based on Local Ternary Pattern

verfasst von : Gong-Sheng Xu, Jing-Hua Yuan, Xiao-Ping Zhang, Li Shang, Zhi-Kai Huang, Hao-Dong Zhu, Yong Gan

Erschienen in: Intelligent Computing Theories and Methodologies

Verlag: Springer International Publishing

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Abstract

The Local Binary Pattern (LBP) and its variants is powerful in capturing image features and computational simplicity, However LBP’s sensitivity to noise, particularly in near-uniform image regions has stimulated many transformations of LBP to improve the ability of feature description. The Local Ternary Pattern (LTP) extends the conventional LBP to ternary codes and makes a significant improvement. LTP is more resistant to noise, but no longer strictly invariant to gray-level transformations. In this paper, by adopting the Average Local Gray Level (ALG) to take place of the traditional gray value of the center pixel and taking an auto-adaptive strategy on the selection of the threshold, we propose the Enhanced Local Ternary Pattern (ELTP) to improve the performance of LTP and implement an android application to recognize plant-leaf image and identify the species of the plant.

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Vorheriges Kapitel Plant Leaf Recognition Based on Contourlet Transform and Support Vector Machine
Nächstes Kapitel A BRMF-Based Model for Missing-Data Estimation of Image Sequence
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Metadaten
Titel
Implementation of Plant Leaf Recognition System on ARM Tablet Based on Local Ternary Pattern
verfasst von
Gong-Sheng Xu
Jing-Hua Yuan
Xiao-Ping Zhang
Li Shang
Zhi-Kai Huang
Hao-Dong Zhu
Yong Gan
Copyright-Jahr
2015
Buch
Intelligent Computing Theories and Methodologies

Print ISBN: 978-3-319-22185-4

Electronic ISBN: 978-3-319-22186-1

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-22186-1_15