@inproceedings{824e4f92292140b88596635a8bf5ae84,
title = "A graph-based color lines model for image analysis",
abstract = "This paper addresses the problem of obtaining a concise description of spectral representation for color images. The proposed method is a graph-based formulation of the well-known Color Lines model. It generalizes the lines to piece-wise lines, been able to fit more complex structures. We illustrate the goodness of proposed method by measuring the quality of the simplified representations in images and videos. The quality of video sequences reconstructed by means of proposed color lines extracted from the first frame demonstrates the robustness of our representation. Our formalism allows to address applications such as image segmentation, shadow correction among others.",
keywords = "Color lines, Gaussian mixture model, Graph-based modeling, Minimum Spanning Tree, Spectral representation",
author = "D. Duque-Arias and S. Velasco-Forero and Deschaud, \{J. E.\} and F. Goulette and B. Marcotegui",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 20th International Conference on Image Analysis and Processing, ICIAP 2019 ; Conference date: 09-09-2019 Through 13-09-2019",
year = "2019",
month = jan,
day = "1",
doi = "10.1007/978-3-030-30645-8\_17",
language = "English",
isbn = "9783030306441",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "181--191",
editor = "Elisa Ricci and Nicu Sebe and \{Rota Bul{\`o}\}, Samuel and Cees Snoek and Oswald Lanz and Stefano Messelodi",
booktitle = "Image Analysis and Processing {\textendash} ICIAP 2019 - 20th International Conference, Proceedings",
}