Surface Defect Detection and Evaluation for Marine Vessels using Multi-Stage Deep Learning

03/17/2022
by   Li Yu, et al.
5

Detecting and evaluating surface coating defects is important for marine vessel maintenance. Currently, the assessment is carried out manually by qualified inspectors using international standards and their own experience. Automating the processes is highly challenging because of the high level of variation in vessel type, paint surface, coatings, lighting condition, weather condition, paint colors, areas of the vessel, and time in service. We present a novel deep learning-based pipeline to detect and evaluate the percentage of corrosion, fouling, and delamination on the vessel surface from normal photographs. We propose a multi-stage image processing framework, including ship section segmentation, defect segmentation, and defect classification, to automatically recognize different types of defects and measure the coverage percentage on the ship surface. Experimental results demonstrate that our proposed pipeline can objectively perform a similar assessment as a qualified inspector.

READ FULL TEXT

page 3

page 4

page 5

page 8

page 10

page 11

page 12

page 13

research
10/09/2019

FastSurfer – A fast and accurate deep learning based neuroimaging pipeline

Traditional neuroimage analysis pipelines involve computationally intens...
research
08/20/2018

Universal Image Manipulation Detection using Deep Siamese Convolutional Neural Network

Detection of different types of image editing operations carried out on ...
research
08/27/2022

CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks

The detection of cracks is a crucial task in monitoring structural healt...
research
09/23/2021

Deep Learning Strategies for Industrial Surface Defect Detection Systems

Deep learning methods have proven to outperform traditional computer vis...
research
09/24/2021

Use of the Deep Learning Approach to Measure Alveolar Bone Level

Abstract: Aim: The goal was to use a Deep Convolutional Neural Network...
research
04/29/2020

Retinal vessel segmentation by probing adaptive to lighting variations

We introduce a novel method to extract the vessels in eye fun-dus images...
research
03/15/2021

Machine Learning for Nondestructive Wear Assessment in Large Internal Combustion Engines

Digitalization offers a large number of promising tools for large intern...

Please sign up or login with your details

Forgot password? Click here to reset