Identification of crop and weed in seedling stage based on multi-spectral images
As machine vision owns many merits, 3CCD multi-spectral camera was used to capture pictures of soybean and two common weeds (Alternanthera philoxeroides and Eleusine indica). Based on the image from IR channel of multi-spectral images and the usage of segmentation and morphological processing, the s...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Zhejiang University Press
2008-07-01
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| Series: | 浙江大学学报. 农业与生命科学版 |
| Subjects: | |
| Online Access: | https://www.academax.com/doi/10.3785/j.issn.1008-9209.2008.04.011 |
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| Summary: | As machine vision owns many merits, 3CCD multi-spectral camera was used to capture pictures of soybean and two common weeds (Alternanthera philoxeroides and Eleusine indica). Based on the image from IR channel of multi-spectral images and the usage of segmentation and morphological processing, the soybean image could be extracted. Although the two weeds were similar in size and color, they differed from each other by shape. So, parameters like length, width, areas of the images were calculated and two simple rules were used to identify them. In the experiment of 147 goals, 14 were misjudged, and the correct recognition rate of the two weeds was 90.5%. So, this method can be used to identify these two specific weeds from each other. As the soybean leaf size was much larger than that of weeds, it could be totally extracted and identified. The test results show that the new method is simple and fast to identify crop and weed in seedling stage. |
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| ISSN: | 1008-9209 2097-5155 |