Image enhancement for crop trait information acquisition system
Collecting images using portable devices is an effective and convenient method for acquiring crop trait information. Because of uncertain environmental conditions in the field, enhancement is necessary to improve the visual quality of images. With this aim, here we propose an adaptive image enhancem...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-12-01
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| Series: | Information Processing in Agriculture |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214317318300817 |
| _version_ | 1797706914816065536 |
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| author | Zhibin Wang Kaiyi Wang Feng Yang Shouhui Pan Yanyun Han Xiangyu Zhao |
| author_facet | Zhibin Wang Kaiyi Wang Feng Yang Shouhui Pan Yanyun Han Xiangyu Zhao |
| author_sort | Zhibin Wang |
| collection | DOAJ |
| description | Collecting images using portable devices is an effective and convenient method for acquiring crop trait information. Because of uncertain environmental conditions in the field, enhancement is necessary to improve the visual quality of images. With this aim, here we propose an adaptive image enhancement method based on guided filtering. Our method automatically calculates the enhancement weights of the detail in an image according to the distribution characteristics of the illumination intensity of a crop image, so as to adaptively adjust the contrast of the image. To verify the effectiveness of the proposed algorithm, we performed enhancement experiments on 50 images of four kinds of cucumber leaf tissues, namely, leaves infected with target spot, powdery mildew, and downy mildew, and healthy leaves. The results showed that our proposed method substantially improved the visual quality of the images. Moreover, the mean ratios of the contrast to color difference obtained using the proposed method were higher than the mean ratios obtained using five conventional enhancement methods. We consider the proposed method for image enhancement will be a valuable addition to the crop trait information acquisition system (http://ebreed.com.cn/). Keywords: Cucumber leaves, Uneven illumination, Detail enhancement, Adaptive, Guided filtering, Breeding |
| first_indexed | 2024-03-12T05:58:24Z |
| format | Article |
| id | doaj.art-46695d2b6c834acb964bc6f593c75d6f |
| institution | Directory Open Access Journal |
| issn | 2214-3173 |
| language | English |
| last_indexed | 2024-03-12T05:58:24Z |
| publishDate | 2018-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Information Processing in Agriculture |
| spelling | doaj.art-46695d2b6c834acb964bc6f593c75d6f2023-09-03T04:20:45ZengElsevierInformation Processing in Agriculture2214-31732018-12-0154433442Image enhancement for crop trait information acquisition systemZhibin Wang0Kaiyi Wang1Feng Yang2Shouhui Pan3Yanyun Han4Xiangyu Zhao5Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China; National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, ChinaBeijing Research Center for Information Technology in Agriculture, Beijing 100097, China; National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China; Corresponding author at: Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China.Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China; School of Economics & Management, China Agricultural University, Beijing 100083, ChinaBeijing Research Center for Information Technology in Agriculture, Beijing 100097, China; National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, ChinaBeijing Research Center for Information Technology in Agriculture, Beijing 100097, China; National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, ChinaBeijing Research Center for Information Technology in Agriculture, Beijing 100097, China; National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, ChinaCollecting images using portable devices is an effective and convenient method for acquiring crop trait information. Because of uncertain environmental conditions in the field, enhancement is necessary to improve the visual quality of images. With this aim, here we propose an adaptive image enhancement method based on guided filtering. Our method automatically calculates the enhancement weights of the detail in an image according to the distribution characteristics of the illumination intensity of a crop image, so as to adaptively adjust the contrast of the image. To verify the effectiveness of the proposed algorithm, we performed enhancement experiments on 50 images of four kinds of cucumber leaf tissues, namely, leaves infected with target spot, powdery mildew, and downy mildew, and healthy leaves. The results showed that our proposed method substantially improved the visual quality of the images. Moreover, the mean ratios of the contrast to color difference obtained using the proposed method were higher than the mean ratios obtained using five conventional enhancement methods. We consider the proposed method for image enhancement will be a valuable addition to the crop trait information acquisition system (http://ebreed.com.cn/). Keywords: Cucumber leaves, Uneven illumination, Detail enhancement, Adaptive, Guided filtering, Breedinghttp://www.sciencedirect.com/science/article/pii/S2214317318300817 |
| spellingShingle | Zhibin Wang Kaiyi Wang Feng Yang Shouhui Pan Yanyun Han Xiangyu Zhao Image enhancement for crop trait information acquisition system Information Processing in Agriculture |
| title | Image enhancement for crop trait information acquisition system |
| title_full | Image enhancement for crop trait information acquisition system |
| title_fullStr | Image enhancement for crop trait information acquisition system |
| title_full_unstemmed | Image enhancement for crop trait information acquisition system |
| title_short | Image enhancement for crop trait information acquisition system |
| title_sort | image enhancement for crop trait information acquisition system |
| url | http://www.sciencedirect.com/science/article/pii/S2214317318300817 |
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