MATEC Web Conf.
Volume 370, 20222022 RAPDASA-RobMech-PRASA-CoSAAMI Conference - Digital Technology in Product Development - The 23rd Annual International RAPDASA Conference joined by RobMech, PRASA and CoSAAMI
|Number of page(s)||10|
|Published online||01 December 2022|
Object segmentation of solid waste material for further semantic segmentation
Academy of Computer Science and Software Engineering, University of Johannesburg, South Africa
Recycling is crucial in reducing solid waste and pollution. An optical waste sorter can reduce the amount of solid waste pollution. To locate and segment the waste objects from the captured image data, waste object segmentation is needed. Waste object segmentation presents a complex problem due to the physical nature of solid waste in the wild. Using the TACO Dataset, this paper assesses object segmentation concerning solid waste object segmentation in the wild with engineered features. We apply a watershed and an ensemble segmentation technique and review the technique against the TACO dataset.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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