Title: | Development of a Multi-spectral Camera for Computer vision applications |
Authors: | Mohammadi, Vahid Sodjinou, Sovi Guillaume Katakpe, Kossi Kuma Rossé, Matthieu Gouton, Pierre |
Citation: | WSCG 2022: full papers proceedings: 30. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 24-27. |
Issue Date: | 2022 |
Publisher: | Václav Skala - UNION Agency |
Document type: | conferenceObject |
URI: | http://hdl.handle.net/11025/49575 |
ISBN: | 978-80-86943-33-6 |
ISSN: | 2464-4617 |
Keywords: | multispektrální kamera;pole spektrálních filtrů;obrazový snímač;hybridní design snímače;genetický algoritmus |
Keywords in different language: | multispectral camera;spectral filter array;image sensor;hybrid sensor design;genetic algorithm |
Abstract in different language: | The need to multispectral cameras is growing in different fields. The goal is to provide inexpensive, flexible, or high resolution acquisition set-ups for different applications. Production of cheap and easy-to-use multispectral cameras requires the design and development of specific multispectral camera sensors equipped with multispectral filter arrays. Filter arrays, band width, and spectral response of filters should be analyzed and determined before mounting the filters on the image sensor. In this study, a multispectral camera sensor was designed to be used for computer vision applications (e.g. crop/weed detection, fruit ripeness estimation etc.) covering visible range. The developed camera sensor is consisted of the image sensor, spectral filter array, a sensor board, and a driving board. A hybrid system is proposed that works using eight bands in visible range (i.e. 400-700 nm). A program was developed based on Genetic Algorithm to find the best combination of filters. The program selects the Gaussian filters using a genetic algorithm powered by wiener filter estimation method. For the selection of bands, minimum RMS of 0.0016 was obtained for the selected bands in visible. The developed camera provides eight high resolution spectral images. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG 2022: Full Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
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A37-full(1).pdf | Plný text | 1,5 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/49575
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