書誌事項
- タイトル別名
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- Weed Detection in Lawn Field Using Machine Vision. Utilization of Textural Features in Segmented Area.
- Utilization of Textural Features in Segmented Area
この論文をさがす
抄録
Weeding is an essential operation for maintaining the beauty of lawn fields such as golf course and garden. Since intensive chemical spray is not desirable, it is necessary that the weed area is discriminated from lawn area. However, both weed and lawn usually have similar green color in summer. A method using textural features extracted from an image was investigated for detecting weed area in this paper.<br>Three textural features, Contrast Angular Second Moment, and Inverse Difference Moment were extracted from 9 or 16 regions in an image with and without image smoothing. The results showed that the features extracted from weeds' size well-fitted segmented image area with image smoothing could discriminate weed regions from lawn regions in lawn field.
収録刊行物
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- 農業機械学会誌
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農業機械学会誌 61 (2), 61-69, 1999
農業食料工学会
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詳細情報 詳細情報について
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- CRID
- 1390282679289724416
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- NII論文ID
- 10019113862
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- NII書誌ID
- AN00200470
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- ISSN
- 18846025
- 02852543
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- NDL書誌ID
- 4674515
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可