Grass Leaf Identification Using dbN Wavelet and CILBP

المؤلفون المشاركون

Han, Fan
Qiao, Xue
Ma, Yubao
Yan, Weihong
Wang, Xinyu
Pan, Xin

المصدر

Advances in Multimedia

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-04-04

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

Grass is one of the most important resources in the ecosystem for the sustainable development of human beings.

However, the studies focusing on grass identification, which were traditionally implemented by experts with low efficiency and precision, cannot meet the requirements of modern grassland management.

In this study, we proposed cubic interpolation LBP (CILBP) and dbN wavelets for grass identification based on leaf images.

A low-frequency component of leaf images decomposed by dbN wavelets was used as the input of CILBP for more subtle texture extraction.

The novelty of the proposed method was that CILBP can better describe the texture features from the low-frequency subimage, as compared with the original bilinear LBP.

The effectiveness in identification accuracy of the proposed method for grass leaf was demonstrated by the experimental results.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Han, Fan& Qiao, Xue& Ma, Yubao& Yan, Weihong& Wang, Xinyu& Pan, Xin. 2020. Grass Leaf Identification Using dbN Wavelet and CILBP. Advances in Multimedia،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1126697

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Han, Fan…[et al.]. Grass Leaf Identification Using dbN Wavelet and CILBP. Advances in Multimedia No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1126697

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Han, Fan& Qiao, Xue& Ma, Yubao& Yan, Weihong& Wang, Xinyu& Pan, Xin. Grass Leaf Identification Using dbN Wavelet and CILBP. Advances in Multimedia. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1126697

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1126697