Image processing and al applied to weldings

Image processing and al applied to weldings

URI: https://www.openarchives.gr/aggregator-openarchives/edm/ntua/000011-123456789_57025
RDF/XML JSON-LD

This item is provided by the institution :
National Technical University of Athens

Repository :
Digital Library of National Technical University of Athens | Dspace@NTUA

see the original item page
in the repository's web site and access all digital files if the item^*

Title

Image processing and al applied to weldings (EN)

Creator

Παπαχλιμίντζος Ιωάννης (EL)

Papachlimintzos, Ioannis (EN)

Contributor

ntua (EL)

Papalambrou, George (EN)

Samuelides, Manolis (EN)

Zervaki, Anna (EN)

Type

bachelorThesis

Thesis
Bachelor thesis (EN)

Issued

2023-02-01T11:55:41Z

2022-11-07

Year

2022 (EN)

Description

Marine automated inspections using Unmanned Areal Vehicles (UAVs), Remotely Operated Vehicles (ROVs) are emerging technologies which are constantly gaining ground. Intelligent vehicles is essential to have an environmental perception that provides crucial information about each ship’s feature so then to classify and inspect it according to the regulations. In this thesis, the main task is research about the application of image segmentation in welding joints. A Fully Convolution Neural Network is proposed based on UNet architecture which was modified so that VGG16 to be implemented as an encoder following a couple of transfer learning strategies. Decoder's convolutional layers were reduced by replacing one layer on each block with Batch Normalization and Dropout operations in order to minimize computational cost and increase model's accuracy. The dataset used for the training and testing of the model consists of images with welding joints which were collected from school's laboratory, ship surveys as well as from the internet (300 images) to achieve greater diversity and increase model’s robustness. The experimental results of the testing set show that the mean IoU is 0.46 and mean F1-score is 0.60. (EN)

Scientific field

Engineering and Technology ▶ Environmental Engineering
Marine engineering (EN)

Subject

Βαθιά μάθηση (EL)

Ραφές συγκόλλησης (EL)

Σημασιολογική τμηματοποίηση (EL)

Συνελικτικό νευρωνικό δίκτυο (EL)

Unet (EN)

Deep learning (EN)

Convolutional Neural Network (EN)

Semantic segmentation (EN)

Weld seams (EN)