Plant Diseases Recognition Based on Image Processing Technology
A new image recognition system based on multiple linear regression is proposed. Particularly, there are a number of innovations in image segmentation and recognition system. In image segmentation, an improved histogram segmentation method which can calculate threshold automatically and accurately is...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/6070129 |
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| _version_ | 1832555528001159168 |
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| author | Guiling Sun Xinglong Jia Tianyu Geng |
| author_facet | Guiling Sun Xinglong Jia Tianyu Geng |
| author_sort | Guiling Sun |
| collection | DOAJ |
| description | A new image recognition system based on multiple linear regression is proposed. Particularly, there are a number of innovations in image segmentation and recognition system. In image segmentation, an improved histogram segmentation method which can calculate threshold automatically and accurately is proposed. Meanwhile, the regional growth method and true color image processing are combined with this system to improve the accuracy and intelligence. While creating the recognition system, multiple linear regression and image feature extraction are utilized. After evaluating the results of different image training libraries, the system is proved to have effective image recognition ability, high precision, and reliability. |
| format | Article |
| id | doaj-art-46587006a3eb41629762150b7d7da771 |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-46587006a3eb41629762150b7d7da7712025-02-03T05:47:54ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552018-01-01201810.1155/2018/60701296070129Plant Diseases Recognition Based on Image Processing TechnologyGuiling Sun0Xinglong Jia1Tianyu Geng2Nankai University, College of Electronic Information and Optical Engineering, Tianjin 300350, ChinaNankai University, College of Electronic Information and Optical Engineering, Tianjin 300350, ChinaNankai University, College of Electronic Information and Optical Engineering, Tianjin 300350, ChinaA new image recognition system based on multiple linear regression is proposed. Particularly, there are a number of innovations in image segmentation and recognition system. In image segmentation, an improved histogram segmentation method which can calculate threshold automatically and accurately is proposed. Meanwhile, the regional growth method and true color image processing are combined with this system to improve the accuracy and intelligence. While creating the recognition system, multiple linear regression and image feature extraction are utilized. After evaluating the results of different image training libraries, the system is proved to have effective image recognition ability, high precision, and reliability.http://dx.doi.org/10.1155/2018/6070129 |
| spellingShingle | Guiling Sun Xinglong Jia Tianyu Geng Plant Diseases Recognition Based on Image Processing Technology Journal of Electrical and Computer Engineering |
| title | Plant Diseases Recognition Based on Image Processing Technology |
| title_full | Plant Diseases Recognition Based on Image Processing Technology |
| title_fullStr | Plant Diseases Recognition Based on Image Processing Technology |
| title_full_unstemmed | Plant Diseases Recognition Based on Image Processing Technology |
| title_short | Plant Diseases Recognition Based on Image Processing Technology |
| title_sort | plant diseases recognition based on image processing technology |
| url | http://dx.doi.org/10.1155/2018/6070129 |
| work_keys_str_mv | AT guilingsun plantdiseasesrecognitionbasedonimageprocessingtechnology AT xinglongjia plantdiseasesrecognitionbasedonimageprocessingtechnology AT tianyugeng plantdiseasesrecognitionbasedonimageprocessingtechnology |