| Presentation | 2006-10-20 Lawn Weeds Detection Methods Using Image Processing Techniques Ukrit WATCHAREERUETAI, Yoshinori TAKEUCHI, Tetsuya MATSUMOTO, Hiroaki KUDO, Noboru OHNISHI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this work, three methods of lawn weeds detection based on various image processing techniques, Bayesian classifier, morphology operators, and gray-scale uniformity analysis based methods, were evaluated and compared by using four different seasons image datasets. In the evaluations, two types of automatic weeding systems (i.e., chemical and non-chemical based) together with the detection methods were simulated and their performances were compared. From the results, for chemical approach, the Bayesian classifier based method could destroy 80.85%-96.30% of weeds, with more than 80% of accuracy for all datasets. For non-chemical approach, its accuracy was nearly 100% for all datasets. This shows its robustness against changing in season. The morphological operator based method was the best in weeds destruction for the non-chemical based system. However, its accuracy performance ranked as the last. For gray-scale uniformity analysis method, it missed detecting a lot of weeds for winter dataset, only 31.91%-36.17% of total weeds could be destroyed. Among three detection methods, the Bayesian classifier based method can be considered as the most appropriate method for both chemical and non-chemical weeding systems. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Lawn / Weed detection / Bayesian classifier / morphology operator / gray-scale uniformity analysis |
| Paper # | PRMU2006-115 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2006/10/13(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Lawn Weeds Detection Methods Using Image Processing Techniques |
| Sub Title (in English) | |
| Keyword(1) | Lawn |
| Keyword(2) | Weed detection |
| Keyword(3) | Bayesian classifier |
| Keyword(4) | morphology operator |
| Keyword(5) | gray-scale uniformity analysis |
| 1st Author's Name | Ukrit WATCHAREERUETAI |
| 1st Author's Affiliation | Department of Media Science, Graduate School of Information Science, Nagoya University() |
| 2nd Author's Name | Yoshinori TAKEUCHI |
| 2nd Author's Affiliation | Department of Media Science, Graduate School of Information Science, Nagoya University |
| 3rd Author's Name | Tetsuya MATSUMOTO |
| 3rd Author's Affiliation | Department of Media Science, Graduate School of Information Science, Nagoya University |
| 4th Author's Name | Hiroaki KUDO |
| 4th Author's Affiliation | Department of Media Science, Graduate School of Information Science, Nagoya University |
| 5th Author's Name | Noboru OHNISHI |
| 5th Author's Affiliation | Department of Media Science, Graduate School of Information Science, Nagoya University |
| Date | 2006-10-20 |
| Paper # | PRMU2006-115 |
| Volume (vol) | vol.106 |
| Number (no) | 301 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |