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PhD Thesis

Title: Image Processing and hyperspectral imaging for quality control in the potato industry

Student: Angel Dacal Nieto

University: Computer Science Department of Universidade de Vigo

PhD advisers: Dr. Arno Formella and Dr. Pilar Carrión Pardo

Presentation: July 7, 2011.

PDF. Source (ZIP).

Potato images hyperspectral database (RAR 1.44GB). Readme (TXT 3KB).

 

Background:

My pre-doc stage began on 2007, with the PhD program "Advanced Technologies in Intelligent Software Development" of the Computer Science Department of Universidade de Vigo. After complete the 2007/2009 course, I acquired the Diploma de Estudios Avanzados (DEA), on July 2009, in the speciality of Image Processing.

Then, I wrote my PhD dissertation called "Procesamiento de imagen y visión hiperespectral para el control de calidad en la industria de la patata (Image Processing and hyperspectral imaging for quality control in the potato industry)", collaborating with the group Laboratorio de Informática Aplicada (LIA), and my advisers Dr. Arno Formella and Dr. Pilar Carrión Pardo.

In July 7, 2011, I presented my dissertation. The Thesis committee was composed by Dr. Filiberto Pla (Universitat Jaume I), Dr. Pablo García (Universidad de Extremadura), Dr. Pedro Villar (Universidad de Granada), Dr. Eva Cernadas (Universidade de Santiago de Compostela) and Dr. María José Lado (Universidade de Vigo). The committee assigned me the highest qualification: Sobresaliente Cum Laude.

 

Objectives:

The overall objective of this dissertation was the design and analysis of image processing and hyperspectral imaging techniques to automate certain tasks relating to quality control in the potato industry which are developed manually until now. This study covered the classical stages of computer vision: 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.

 

Material:


Used libraries and technologies:

 

Derived publications (until now):

2011 Common scab detection on potatoes using an infrared hyperspectral imaging system

A. Dacal-Nieto, A. Formella, P. Carrión, E. Vazquez-Fernandez, M. Fernandez-Delgado

To be published in Lecture Notes in Computer Science (LNCS) 6978/6979, 2011. ISBN 978-3-642-24087-4.

To be presented at the 16th International Conference on Image Analysis and Processing (ICIAP 2011), to be held in Ravenna (Italy), from 14 to16 September, 2011.

 

2011 Non-destructive detection of hollow heart in potatoes using hyperspectral imaging

A. Dacal-Nieto, A. Formella, P. Carrión, E. Vazquez-Fernandez, M. Fernandez-Delgado

Published in Lecture Notes in Computer Science (LNCS) 6855, pp. 180-187, 2011. ISBN: 978-3-642-23677-8.

Presented at the 14th International Conference on Computer Analysis of Images and Patterns (CAIP 2011), to be held in Sevilla (Spain), from 29 to 31 August, 2011.

 

2011 Rapid Infrared Multi-Spectral Systems Design using a Hyperspectral Benchmarking Framework

A. Dacal-Nieto, A. Formella, P. Carrión, E. Vazquez-Fernandez, M. Fernandez-Delgado

To be published in IEEE Xplore. 2011.

Presented at ICME 2011 (IEEE International Conference on Multimedia and Expo). Barcelona (Spain), from11-07-2011 to15-07-2011.

 

2009 A genetic algorithm approach for feature selection in potatoes classification by computer vision

A. Dacal-Nieto, E. Vazquez-Fernandez, A. Formella, F. Martin, S. Torres-Guijarro, H. Gonzalez-Jorge

Article in Industrial Electronics, 2009. IECON'09. 35th Annual Conference of IEEE, pp. 1955-1960 2009. ISBN: 978-1-4244-4648-3.

Presented in IECON 2009 (35th Internation Annual Conference of the IEEE Industrial Electronics Society). Porto (Portugal), from 03-11-2009 to 05-11-2009. Presentation.