PAVEMENT DISTRESS DETECTION WITH PICUCHA METHODOLOGY FOR AREA-SCAN CAMERAS AND DARK IMAGES | Zendy

Reus Salini | Zendy; Bugao Xu | Zendy; Paulius Paplauskas | Zendy

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PAVEMENT DISTRESS DETECTION WITH PICUCHA METHODOLOGY FOR AREA-SCAN CAMERAS AND DARK IMAGES

Author(s) -

Reus Salini,

Bugao Xu,

Paulius Paplauskas

Publication year - 2017

Publication title -

stavební obzor

Language(s) - English

Resource type - Journals

eISSN - 1805-2576

pISSN - 1210-4027

DOI - 10.14311/cej.2017.01.0004

Subject(s) - artificial intelligence , computer science , computer vision , artificial neural network , distortion (music) , set (abstract data type) , brightness , convolutional neural network , flexibility (engineering) , image (mathematics) , pattern recognition (psychology) , mathematics , computer network , amplifier , statistics , physics , bandwidth (computing) , optics , programming language

This article discusses the test of the PICture Unsupervised Classification with Human Analysis (PICUCHA) performance with images taken with area-scan cameras and flash light illumination over a pavement with dark textures.

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