Grass Leaf Identification Using dbN Wavelet and CILBP
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 ma...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2020/1909875 |
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| _version_ | 1850228217420447744 |
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| author | Fan Han Xue Qiao Yubao Ma Weihong Yan Xinyu Wang Xin Pan |
| author_facet | Fan Han Xue Qiao Yubao Ma Weihong Yan Xinyu Wang Xin Pan |
| author_sort | Fan Han |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-231adbcd598143aea16157fdb9ea3849 |
| institution | OA Journals |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-231adbcd598143aea16157fdb9ea38492025-08-20T02:04:35ZengWileyAdvances in Multimedia1687-56801687-56992020-01-01202010.1155/2020/19098751909875Grass Leaf Identification Using dbN Wavelet and CILBPFan Han0Xue Qiao1Yubao Ma2Weihong Yan3Xinyu Wang4Xin Pan5College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot 010018, ChinaCollege of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot 010018, ChinaInstitute of Grassland Research of CAAS, Inner Mongolia, Hohhot 010020, ChinaInstitute of Grassland Research of CAAS, Inner Mongolia, Hohhot 010020, ChinaCollege of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot 010018, ChinaCollege of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot 010018, ChinaGrass 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.http://dx.doi.org/10.1155/2020/1909875 |
| spellingShingle | Fan Han Xue Qiao Yubao Ma Weihong Yan Xinyu Wang Xin Pan Grass Leaf Identification Using dbN Wavelet and CILBP Advances in Multimedia |
| title | Grass Leaf Identification Using dbN Wavelet and CILBP |
| title_full | Grass Leaf Identification Using dbN Wavelet and CILBP |
| title_fullStr | Grass Leaf Identification Using dbN Wavelet and CILBP |
| title_full_unstemmed | Grass Leaf Identification Using dbN Wavelet and CILBP |
| title_short | Grass Leaf Identification Using dbN Wavelet and CILBP |
| title_sort | grass leaf identification using dbn wavelet and cilbp |
| url | http://dx.doi.org/10.1155/2020/1909875 |
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