Cracks splitter/cropper/au​gment on a single image

Augments the cracks with similar geometric properties, cracks can be split into tile images.

Introduction

Cracks are the precursor of defects. Labeling the cracks is a tedious process. To augment the cracks with similar geometric properties, cracks can be split into tile images. In this program, the thinned cracks are traversed with a certain overlap ratio between the adjacent tiles. This will ensure to produce the cracks with similar attributes. Note that some cracks artifacts may show in the tiled images.

Sample images

Type	Images
Original image
Cropped bounding boxes

Requirements

MATLAB
MATLAB Image Processing Toolbox

Citation

Crack splitter code for cropping the cracks to the dataset augmentation is available to the public. If you use this code in your research, please use the following BibTeX entry to cite:

@PhdThesis{preetham2021vision,
author = {{Aghalaya Manjunatha}, Preetham},
title = {Vision-Based and Data-Driven Analytical and Experimental Studies into Condition Assessment and Change Detection of Evolving Civil, Mechanical and Aerospace Infrastructures},
school =  {University of Southern California},
year = 2021,
type = {Dissertations & Theses},
address = {3550 Trousdale Parkway Los Angeles, CA 90089},
month = {December},
note = {Condition assessment, Crack localization, Crack change detection, Synthetic crack generation, Sewer pipe condition assessment, Mechanical systems defect detection and quantification}
}

Feedback

Please rate and provide feedback for the further improvements.