A Novel Color-Based Segmentation Method for the Objective Measurement of Human Masticatory Performance

The aims of this study were to propose an automatic color-based segmentation method to separate mixed and unmixed colors of images that were derived from the application of the two-color chewing-gum mixing test and to determine the validity of this method in the assessment of masticatory performance...

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書誌詳細

出版年:	Applied Sciences
主要な著者:	Luca Aquilanti, Lorenzo Scalise, Marco Mascitti, Andrea Santarelli, Rachele Napolitano, Lorenzo Verdenelli, Giorgio Rappelli
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2020-12-01
主題:	mastication software chewing gum masticatory performance
オンライン･アクセス:	https://www.mdpi.com/2076-3417/10/23/8626