@inproceedings{34d811115d99430998d8a192940bc778,
title = "Appearance similarity index for medicinal ampoule labels",
abstract = "Since there are many ampoule injection medicines, it is important to make their labels easily distinguishable because confusing labels may lead to fatal accidents caused by administering the wrong medicine by mistake. In this paper, we utilize Fourier series expansion and wavelet transformation to extract the characteristics in labels and propose an index to measure similarity that we feel toward ampoule labels to prevent confusion in label designs. We also discuss a way of parameterizing colors.",
keywords = "Ampoule labels, Fourier analysis, Medicinal safety, Wavelet analysis",
author = "Masaomi Kimura and Yutaroh Furukawa and Akira Kojo and Hirotsugu Ishida and Keita Nabeta and Michiko Ohkura and Fumito Tsuchiya",
year = "2011",
doi = "10.1007/978-3-642-21602-2_64",
language = "English",
isbn = "9783642216015",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "588--597",
booktitle = "Human-Computer Interaction",
edition = "PART 1",
note = "14th International Conference on Human-Computer Interaction, HCI International 2011 ; Conference date: 09-07-2011 Through 14-07-2011",
}