Color Extraction Module for Unsupervised Image Classification Representation

Even though working with unlabeled data has the main advantages of lower preprocessing time and resources, the drawback is that the algorithms implemented have no connection between the output and ground truth, therefore is extremely hard to represent the results. This paper proposes a deployable st...

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Bibliographic Details
Main Authors: Andrei, Alexandru-Toma, Grigore, Ovidiu
Format: Conference Proceeding
Language:English
Subjects:
aerial images
Classification algorithms
color extraction
Data mining
Electrical engineering
histogram
Image color analysis
Image segmentation
machine learning
Machine learning algorithms
Manuals
unsupervised classification
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Description
Summary:Even though working with unlabeled data has the main advantages of lower preprocessing time and resources, the drawback is that the algorithms implemented have no connection between the output and ground truth, therefore is extremely hard to represent the results. This paper proposes a deployable stand-alone module for extracting the real color of the identified classes for a more intuitive representation of the final results.
ISSN:2159-3604
DOI:10.1109/ATEE58038.2023.10108115