Open AccessIMPACT OF IMAGE RESOLUTION ON PAVEMENT DISTRESS DETECTION USING PICUCHA METHODOLOGY
Author(s) -
Reus Salini,
Bugao Xu,
Mena I. Souliman
Publication year - 2016
Publication title -
stavební obzor
Language(s) - English
Resource type - Journals
eISSN - 1805-2576
pISSN - 1210-4027
DOI - 10.14311/cej.2016.04.0024
Subject(s) - computer science , software , distress , pavement management , data collection , field (mathematics) , data mining , artificial intelligence , pixel , transport engineering , engineering , mathematics , statistics , ecology , pure mathematics , biology , programming language
This article describes a study focused on the analysis of a newly-developed pavement distress classification algorithm, called the PICture Unsupervised Classification with Human Analysis (PICUCHA) method, particularly the impact of image resolutions on its classification accuracy.
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