On selection of centroids of fuzzy clusters for color classification

• URL: http://arxiv.org/abs/2407.17423v1
• Date: Tue, 9 Jul 2024 11:59:31 GMT
• Title: On selection of centroids of fuzzy clusters for color classification
• Authors: Dae-Won Kim, Kwang H. Lee,
• Abstract summary: A novel fuzzy c-means algorithm is proposed for the color clustering problem. The proposed algorithm extracts dominant colors that are the most vivid and distinguishable colors. To obtain the dominant colors and their closest color points, we introduce reference colors and define a fuzzy membership model.
• Score: 2.002741592555996
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: A novel initialization method in the fuzzy c-means (FCM) algorithm is proposed for the color clustering problem. Given a set of color points, the proposed initialization extracts dominant colors that are the most vivid and distinguishable colors. Color points closest to the dominant colors are selected as initial centroids in the FCM. To obtain the dominant colors and their closest color points, we introduce reference colors and define a fuzzy membership model between a color point and a reference color.

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