无监督图像分类表示的颜色提取模块

2023 13th International Symposium on Advanced Topics in Electrical Engineering (ATEE) Pub Date : 2023-03-23 DOI:10.1109/ATEE58038.2023.10108115

Alexandru-Toma Andrei, O. Grigore

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引用次数: 1

摘要

尽管处理未标记数据的主要优点是预处理时间和资源较少，但缺点是实现的算法在输出和基本事实之间没有联系，因此非常难以表示结果。本文提出了一个可部署的独立模块，用于提取识别类的真实颜色，以便更直观地表示最终结果。

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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 stand-alone module for extracting the real color of the identified classes for a more intuitive representation of the final results.

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2023 13th International Symposium on Advanced Topics in Electrical Engineering (ATEE)

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