A Real time specific weed discrimination system using multi-Level wavelet decomposition
The developed algorithm was used for the real time specific weed discrimination employing multi-level wavelet decomposition. This algorithm used four different types of wavelets i.e., Daubechies (bd4), Symlets (sym4), Biorthogonal (bior3.3) and Reverse Biorthogonal (rbio3.3) up to four levels of dec...
| Main Authors: | , , , |
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| Format: | Citation Index Journal |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/2726/ http://scholars.utp.edu.my/id/eprint/2726/1/eprints.pdf |
| _version_ | 1848659294733467648 |
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| author | Siddiqi, M.H. Sulaiman, S. Faye, Ibrahima Ahmad, I. |
| author_facet | Siddiqi, M.H. Sulaiman, S. Faye, Ibrahima Ahmad, I. |
| author_sort | Siddiqi, M.H. |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | The developed algorithm was used for the real time specific weed discrimination employing multi-level wavelet decomposition. This algorithm used four different types of wavelets i.e., Daubechies (bd4), Symlets (sym4), Biorthogonal (bior3.3) and Reverse Biorthogonal (rbio3.3) up to four levels of decomposition to classify images into broad and narrow class for real-time selective herbicide application using the Euclidian distance method. The lab, which have shown that the system to be very effective in weed identification, segmentation and discrimination. The test and analysis show that 97.26% classification accuracy over 350 sample images (broad & narrow) with 175 samples from each category of weeds and the proposed algorithm takes 29 ms as average time for the classification of the specific weeds. |
| first_indexed | 2025-11-13T07:28:09Z |
| format | Citation Index Journal |
| id | oai:scholars.utp.edu.my:2726 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:28:09Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:27262017-01-19T08:25:57Z http://scholars.utp.edu.my/id/eprint/2726/ A Real time specific weed discrimination system using multi-Level wavelet decomposition Siddiqi, M.H. Sulaiman, S. Faye, Ibrahima Ahmad, I. QA75 Electronic computers. Computer science The developed algorithm was used for the real time specific weed discrimination employing multi-level wavelet decomposition. This algorithm used four different types of wavelets i.e., Daubechies (bd4), Symlets (sym4), Biorthogonal (bior3.3) and Reverse Biorthogonal (rbio3.3) up to four levels of decomposition to classify images into broad and narrow class for real-time selective herbicide application using the Euclidian distance method. The lab, which have shown that the system to be very effective in weed identification, segmentation and discrimination. The test and analysis show that 97.26% classification accuracy over 350 sample images (broad & narrow) with 175 samples from each category of weeds and the proposed algorithm takes 29 ms as average time for the classification of the specific weeds. 2009 Citation Index Journal PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/2726/1/eprints.pdf Siddiqi, M.H. and Sulaiman, S. and Faye, Ibrahima and Ahmad, I. (2009) A Real time specific weed discrimination system using multi-Level wavelet decomposition. [Citation Index Journal] |
| spellingShingle | QA75 Electronic computers. Computer science Siddiqi, M.H. Sulaiman, S. Faye, Ibrahima Ahmad, I. A Real time specific weed discrimination system using multi-Level wavelet decomposition |
| title | A Real time specific weed discrimination system using multi-Level wavelet decomposition |
| title_full | A Real time specific weed discrimination system using multi-Level wavelet decomposition |
| title_fullStr | A Real time specific weed discrimination system using multi-Level wavelet decomposition |
| title_full_unstemmed | A Real time specific weed discrimination system using multi-Level wavelet decomposition |
| title_short | A Real time specific weed discrimination system using multi-Level wavelet decomposition |
| title_sort | real time specific weed discrimination system using multi-level wavelet decomposition |
| topic | QA75 Electronic computers. Computer science |
| url | http://scholars.utp.edu.my/id/eprint/2726/ http://scholars.utp.edu.my/id/eprint/2726/1/eprints.pdf |