Weed detection utilizing quadratic polynomial and ROI techniques
Machine vision for selective weeding or selective herbicide spraying relies substantially on the ability of the system to analyze weed images and process the extracted knowledge for decision making prior to implementing the identified control action. To control weed, different weed type would requir...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2007
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| Online Access: | http://psasir.upm.edu.my/id/eprint/48135/ http://psasir.upm.edu.my/id/eprint/48135/1/Weed%20detection%20utilizing%20quadratic%20polynomial%20and%20ROI%20techniques.pdf |
| _version_ | 1848850999226138624 |
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| author | Ishak, Asnor Juraiza Mokri, Siti Salasiah Mustafa, Mohd Marzuki Hussain, Aini |
| author_facet | Ishak, Asnor Juraiza Mokri, Siti Salasiah Mustafa, Mohd Marzuki Hussain, Aini |
| author_sort | Ishak, Asnor Juraiza |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Machine vision for selective weeding or selective herbicide spraying relies substantially on the ability of the system to analyze weed images and process the extracted knowledge for decision making prior to implementing the identified control action. To control weed, different weed type would require different herbicide formulation. Consequently the weed must be identified and classified accordingly. In this work, weed images were classified as either broad or narrow weed type. A fundamental problem in weed image recognition using planar curve analysis is to detect curve. It is difficult to successfully extract curve from the image of weed edges since the appropriate scale to use for extraction is not known a priori As such, this paper considers a curve detection method based on the quadratic polynomial technique which include the use of the region-of-interests (ROI) technique. The ROI technique creates image subsets by selecting regions of the displayed image. The ROIs are typically used to extract statistics for image operations such as classification. As such, the objective of this paper is to present a novel application of curve detection feature extraction technique in weed classification. |
| first_indexed | 2025-11-15T10:15:12Z |
| format | Conference or Workshop Item |
| id | upm-48135 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:15:12Z |
| publishDate | 2007 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-481352016-08-03T08:05:02Z http://psasir.upm.edu.my/id/eprint/48135/ Weed detection utilizing quadratic polynomial and ROI techniques Ishak, Asnor Juraiza Mokri, Siti Salasiah Mustafa, Mohd Marzuki Hussain, Aini Machine vision for selective weeding or selective herbicide spraying relies substantially on the ability of the system to analyze weed images and process the extracted knowledge for decision making prior to implementing the identified control action. To control weed, different weed type would require different herbicide formulation. Consequently the weed must be identified and classified accordingly. In this work, weed images were classified as either broad or narrow weed type. A fundamental problem in weed image recognition using planar curve analysis is to detect curve. It is difficult to successfully extract curve from the image of weed edges since the appropriate scale to use for extraction is not known a priori As such, this paper considers a curve detection method based on the quadratic polynomial technique which include the use of the region-of-interests (ROI) technique. The ROI technique creates image subsets by selecting regions of the displayed image. The ROIs are typically used to extract statistics for image operations such as classification. As such, the objective of this paper is to present a novel application of curve detection feature extraction technique in weed classification. IEEE 2007 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/48135/1/Weed%20detection%20utilizing%20quadratic%20polynomial%20and%20ROI%20techniques.pdf Ishak, Asnor Juraiza and Mokri, Siti Salasiah and Mustafa, Mohd Marzuki and Hussain, Aini (2007) Weed detection utilizing quadratic polynomial and ROI techniques. In: 5th Student Conference on Research and Development (SCOReD 2007), 11-12 Dec. 2007, Selangor, Malaysia. . 10.1109/SCORED.2007.4451360 |
| spellingShingle | Ishak, Asnor Juraiza Mokri, Siti Salasiah Mustafa, Mohd Marzuki Hussain, Aini Weed detection utilizing quadratic polynomial and ROI techniques |
| title | Weed detection utilizing quadratic polynomial and ROI techniques |
| title_full | Weed detection utilizing quadratic polynomial and ROI techniques |
| title_fullStr | Weed detection utilizing quadratic polynomial and ROI techniques |
| title_full_unstemmed | Weed detection utilizing quadratic polynomial and ROI techniques |
| title_short | Weed detection utilizing quadratic polynomial and ROI techniques |
| title_sort | weed detection utilizing quadratic polynomial and roi techniques |
| url | http://psasir.upm.edu.my/id/eprint/48135/ http://psasir.upm.edu.my/id/eprint/48135/ http://psasir.upm.edu.my/id/eprint/48135/1/Weed%20detection%20utilizing%20quadratic%20polynomial%20and%20ROI%20techniques.pdf |