IMAGE PROCESSING AND HYPERSPECTRAL IMAGING FOR QUALITY CONTROL IN THE POTATO INDUSTRY
Image Processing
The overall objective of this project was the design and analysis of image processing and hyperspectral imaging techniques to automate certain tasks related to quality control in the potato industry which are developed manually until now. The study covered the classical stages of computer vision, but now applied to hyperspectral images: design and implementation of an image acquisition system, preprocessing and segmentation through various image processing techniques, feature extraction, and classification.
Some of the tasks that have been developed are:
- Classification of tubers depending on their external defects (greening, rotten, etc.).
- Detecting hollow heart in potatoes using hyperspectral imaging.
- Estimating area affected by common scab in potatoes using hyperspectral imaging.
We provide to the research community the database (.rar-file 1.52 GiB, md5-checksum, and Readme-file) of a set of hyperspectral images which we used to detect the hollow heart and other deseases in potatoes using hyperspectral information in the infrared spectrum (900 nm to 1700 nm).
Publications
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Title: Rapid infrared multi-spectral systems design using a hyperspectral benchmarking framework
Year: 2011
Isbn: 978-1-61284-348-3
Pages: 1 - 4
Conference Name: IEEE International Conference on Multimedia and Expo (ICME)
Organizer: IEEE Signal Processing
Type: Conference Contributions
Authors: Pilar Carrión Pardo, Arno Formella, Ángel Dacal Nieto, Manuel Fernández Delgado, Esteban Vázquez Fernández
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Title: Common scab detection on potatoes using an infrared hyperspectral imaging system
Year: 2011
Editorial: Springer [LNCS]
Isbn: 978-3-642-24087-4
Issn: 0302-9743
Pages: 303 - 312
City: Ravenna
Country: Italy
Conference Name: 16th International Conference on Image Analysis and Processing (ICIAP'2011)
Impact factor: CORE 2008 B
Type: Conference Contributions
Authors: Pilar Carrión Pardo, Arno Formella, Ángel Dacal Nieto, Manuel Fernández Delgado, Esteban Vázquez Fernández
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Title: Non-Destructive Detection of Hollow Heart in Potatoes Using Hyperspectral Imaging
Year: 2011
Editorial: Springer [LNCS]
Isbn: 978-3-642-23677-8
Issn: 0302-9743
Volumen: 6855
Pages: 180 - 187
City: Sevilla
Country: Spain
Conference Name: 14th International Conference on Computer Analysis of Images and Patterns (CAIP'2011)
Impact factor: CORE 2008 B
Type: Conference Contributions
Authors: Pilar Carrión Pardo, Arno Formella, Ángel Dacal Nieto, Manuel Fernández Delgado, Esteban Vázquez Fernández, C.A. García Martínez
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Title: Procesamiento de imagen y visión hiperespectral para el control de calidad en la industria de la patata
Year: 2011
Editorial: Universidade De Vigo
Organizer: Pilar Carrión Pardo, Arno Formella
Type: Phd Thesis
Authors: Ángel Dacal Nieto
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Title: A genetic algorithm approach for feature selection in potatoes classification by computer vision
Year: 2009
Editorial: IEEE Society
Isbn: 978-1-4244-4649-0
Pages: 1955 - 1960
City: Porto
Country: Portugal
Conference Name: 35th Annual Conference of the IEEE Industrial Electronics Society (IECON'2009)
Type: Conference Contributions
Authors: Arno Formella, Ángel Dacal Nieto, Higinio González Jorge, Fernando Martín Rodríguez, Esteban Vázquez Fernández, Mª Soledad Torres Guijarro
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Title: A Computer Vision System for Visual Grape Grading in Wine Cellars
Year: 2009
Editorial: Springer [LNCS]
Isbn: 978-3-642-04666-7
Issn: 0302-9743
Volumen: 5815
Pages: 335 - 344
City: Liège
Country: Belgium
Conference Name: 7th International Conference on Computer Vision Systems (ICVS'2009)
Type: Conference Contributions
Authors: Arno Formella, Ángel Dacal Nieto, Higinio González Jorge, Fernando Martín Rodríguez, Esteban Vázquez Fernández, Mª Soledad Torres Guijarro
People Involved
- Carrión Pardo, Pilar
- Dacal Nieto, Ángel
- Fernández Delgado, Manuel
- Formella, Arno
- González Jorge, Higinio
- Martín Rodríguez, Fernando
- Torres Guijarro, Mª Soledad
- Vázquez Fernández, Esteban
Press Articles
- (05/12/2016)De la bioinformática a la simulación aeroespacial
- (26/07/2011)Un invento estudia la calidad de la cosecha de patatas por fincas
- (12/07/2011)Visión hiperespectral para garantir a calidade de cada pataca
Resources
- Hyperspectral database of potatoes [Databases]
- Readme of hyperspectral potatoes database [Databases]
