François Chung, Ph.D.

Tag: rapport technique

Inspiralia 2013 - Rapport technique

Inspiralia 2013 – Rapport technique

Publication

François Chung, Tomás Rodríguez; A general framework for multi-focal image classification and authentication: Application to microscope pollen images; Inspiralia, Madrid, 2013.

Abstract

In this article, we propose a general framework for multi-focal image classification and authentication, the methodology being demonstrated on microscope pollen images. The framework is meant to be generic and based on a brute force-like approach aimed to be efficient not only on any kind, and any number, of pollen images (regardless of the pollen type), but also on any kind of multi-focal images. All stages of the framework's pipeline are designed to be used in an automatic fashion. First, the optimal focus is selected using the absolute gradient method. Then, pollen grains are extracted using a coarse-to-fine approach involving both clustering and morphological techniques (coarse stage), and a snake-based segmentation (fine stage). Finally, features are extracted and selected using a generalized approach, and their classification is tested with four classifiers: Weighted Neighbor Distance, Neural Network, Decision Tree and Random Forest. The latter method, which has shown the best and more robust classification accuracy results (above 97% for any number of pollen types), is finally used for the authentication stage.

Mots-clés

  • generalized feature extraction
  • image classification
  • microscope images
  • optimal focus selection
  • pollen authentication
  • Random Forest
  • snake-based segmentation
  • supervised clustering

Références

Publication

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Inspiralia 2012 - Rapport technique

Inspiralia 2012 – Rapport technique

Publication

François Chung, Tomás Rodríguez; Automatic pollen grain and exine segmentation from microscope images; Inspiralia, Madrid, 2012.

Abstract

In this article, we propose an automatic method for the segmentation of pollen grains from microscope images, followed by the automatic segmentation of their exine. The objective of exine segmentation is to separate the pollen grain in two regions of interest: exine and inner part. A coarse-to-fine approach ensures a smooth and accurate segmentation of both structures. As a rough stage, grain segmentation is performed by a procedure involving clustering and morphological operations, while the exine is approximated by an iterative procedure consisting in consecutive cropping steps of the pollen grain. A snake-based segmentation is performed to refine the segmentation of both structures. Results have shown that our segmentation method is able to deal with different pollen types, as well as with different types of exine and inner part appearance. The proposed segmentation method aims to be generic and has been designed as one of the core steps of an automatic pollen classification framework.

Références

Publication

Articles associés

APIFRESH (projet Inspiralia)
EUE 2017 (livre)
Inspiralia 2013 (rapport technique)

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UdG 2006 - Rapport technique

UdG 2006 – Rapport technique

Publication

David Ribas, Narcís Palomeras, Xavier Ribas, Guillermo García de Marina, Emili Hernàndez, François Chung, Natàlia Hurtós, Joan Massich, Toni Almohaya, Josep Vila; ICTINEU AUV takes the challenge; Universitat de Girona (UdG), Girona, 2006.

Abstract

Within 1857-1868, Narcis Monturiol developed the first Spanish submarine. Almost one hundred and fifty years later, a pioneer team of students of the University of Girona (UdG) decided to design and develop an Autonomous Underwater Vehicle (AUV) to face the Student Autonomous Underwater Challenge – Europe (SAUC-E). Our robot, called ICTINEU AUV, is the result of a multidisciplinary project involving undergraduate, graduate and Ph.D. students of industrial engineering and computer science. The prototype has evolved from the initial Computer Aided Design (CAD) model to become an operative Autonomous Underwater Vehicle (AUV) in the short period of seven months. The open frame and modular design principles, together with the compatibility with other robots previously developed at the lab, have been the main design philosophy. Hence, at the robot core, two networked computers give access to a wide set of sensors and actuators. The Gentoo/Linux distribution, with a 2.6 pre-emptive kernel, has been chosen as the onboard operating system. The real-time POSIX, together with the ACE/TAO CORBA-RT ORB, have been extensively used to develop the control architecture as a set of distributed objects with soft real time capabilities. Common software engineering practises have been applied to ensure software reliability including Unified Modelling Language (UML) design, extensive documentation using DoxyGen and the use of a Code Version Server (CVS) to handle the sharing of multiple code versions. Finally, in order to reduce the development time, concurrent engineering techniques based on Hardware In the Loop (HIL) simulation have been applied to overlap the hardware and software design and development.

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Publication

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Compétition SAUC-E (projet UdG)
CCIA 2006 (acte de conférence)

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SAUC-E – Student Autonomous Underwater Challenge – Europe
UdG – Universitat de Girona