Towards landmine detection using artificial vision

Javier Coronado-Vergara, Gabriel Aviña-Cervantes, Michel Devy, Carlos Parra

Producción: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

9 Citas (Scopus)

Resumen

One of the main needs for the humanitarian demining procedures in Colombia and in the whole world is to find complementary sensing methods for the metal detectors. This paper presents a study whose main goal is the development of a complementary sensor for a metal detector, based on the analysis of images taken by an on-board camera. The images are processed by developing texture and color analysis of different types of surfaces, composed mainly by grass or small rocks. Based on the color and texture analysis, this paper shows that it is possible to determine the presence of a non-metallic landmine within the image. This is achieved by finding the image regions whose texture features variations and color compositions are considered to be anomalous. It is thought that the texture variations over the image are an indicator that the surface has been intentionally modified. This image processing strategy is being integrated on the robot 'Úrsula', designed at Universidad Javeriana in Colombia.

Idioma originalInglés
Título de la publicación alojada2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
EditorialIEEE Computer Society
Páginas659-664
Número de páginas6
ISBN (versión impresa)0780389123, 9780780389120
DOI
EstadoPublicada - 2005

Serie de la publicación

Nombre2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

Huella

Profundice en los temas de investigación de 'Towards landmine detection using artificial vision'. En conjunto forman una huella única.

Citar esto