Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay
Hyperspectral systems are characterised by offering the possibility of acquiring a large number of images at different consecutive wavebands. To ensure reliable and repeatable results using this kind of optical sensors, the intensity shown by the objects in the different spectral images must be inde...
| Main Authors: | , , , , , |
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| Format: | Artículo |
| Language: | Inglés |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/20.500.11939/5316 |
| _version_ | 1855491904898072576 |
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| author | Gómez-Sanchís, Juan Lorente, Delia Soria-Olivas, Emilio Aleixos, Nuria Cubero, Sergio Blasco, José |
| author_browse | Aleixos, Nuria Blasco, José Cubero, Sergio Gómez-Sanchís, Juan Lorente, Delia Soria-Olivas, Emilio |
| author_facet | Gómez-Sanchís, Juan Lorente, Delia Soria-Olivas, Emilio Aleixos, Nuria Cubero, Sergio Blasco, José |
| author_sort | Gómez-Sanchís, Juan |
| collection | ReDivia |
| description | Hyperspectral systems are characterised by offering the possibility of acquiring a large number of images at different consecutive wavebands. To ensure reliable and repeatable results using this kind of optical sensors, the intensity shown by the objects in the different spectral images must be independent from the differences in sensitivity of the system for the different wavelengths. The spectral efficiency of the acquisition devices and the spectral emission of the lighting system vary across the spectrum and the images, and therefore the results can reproduce these variations if the system is not properly calibrated and corrected. This is particularly complex, when several LCTF devices are used to obtain large spectral ranges. This work presents the development of a hyperspectral system based on two liquid crystal tuneable filters for the acquisition of images of spherical fruits. It also proposes a methodology for acquiring and segmenting images of citrus fruits aimed at detecting decay in citrus fruits that has been capable of correctly classifying 98 % of pixels as rotten or non-rotten and 95 % of fruit. |
| format | Artículo |
| id | ReDivia5316 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| record_format | dspace |
| spelling | ReDivia53162025-04-25T14:42:02Z Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay Gómez-Sanchís, Juan Lorente, Delia Soria-Olivas, Emilio Aleixos, Nuria Cubero, Sergio Blasco, José Hyperspectral systems are characterised by offering the possibility of acquiring a large number of images at different consecutive wavebands. To ensure reliable and repeatable results using this kind of optical sensors, the intensity shown by the objects in the different spectral images must be independent from the differences in sensitivity of the system for the different wavelengths. The spectral efficiency of the acquisition devices and the spectral emission of the lighting system vary across the spectrum and the images, and therefore the results can reproduce these variations if the system is not properly calibrated and corrected. This is particularly complex, when several LCTF devices are used to obtain large spectral ranges. This work presents the development of a hyperspectral system based on two liquid crystal tuneable filters for the acquisition of images of spherical fruits. It also proposes a methodology for acquiring and segmenting images of citrus fruits aimed at detecting decay in citrus fruits that has been capable of correctly classifying 98 % of pixels as rotten or non-rotten and 95 % of fruit. 2017-06-01T10:12:08Z 2017-06-01T10:12:08Z 2014 APR 2014 article acceptedVersion Gomez-Sanchis, J., Lorente, D., Soria-Olivas, E., Aleixos, N., Cubero, S., Blasco, J. (2014). Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay. Food and Bioprocess Technology, 7(4), 1047-1056. 1935-5130 http://hdl.handle.net/20.500.11939/5316 10.1007/s11947-013-1158-9 en openAccess Impreso |
| spellingShingle | Gómez-Sanchís, Juan Lorente, Delia Soria-Olivas, Emilio Aleixos, Nuria Cubero, Sergio Blasco, José Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay |
| title | Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay |
| title_full | Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay |
| title_fullStr | Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay |
| title_full_unstemmed | Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay |
| title_short | Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay |
| title_sort | development of a hyperspectral computer vision system based on two liquid crystal tuneable filters for fruit inspection application to detect citrus fruits decay |
| url | http://hdl.handle.net/20.500.11939/5316 |
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