학술논문
Superpixel Based Region Segmentation Using Shallow Classifiers
Document Type
Conference
Author
Source
2024 23rd International Symposium INFOTEH-JAHORINA (INFOTEH) INFOTEH-JAHORINA (INFOTEH), 2024 23rd International Symposium. :1-6 Mar, 2024
Subject
Language
ISSN
2767-9470
Abstract
This paper deals with solving the problem of semantic image segmentation in scenarios characterized by limited availability of annotated data which is common in many fields such as remote sensing, medical imaging, agriculture, etc. An approach that maps superpixels to features and uses a shallow supervised classifier is proposed. It emphasizes efficiency and context-aware segmentation, using a superpixel-based methodology. In experiments on a floodplain segmentation dataset, the algorithm shows favorable outcomes. Promising results from preliminary experiments in medical imaging also suggest potential applications in other fields.