@inproceedings{2a2b0b29b1c94a349a3a9016042eb5bb,
title = "A novel image retrieval algorithm for computer aided color design",
abstract = "At any time in the process of product color design, designers need to initialize a color design scheme and then use it to retrieve existing similar designs from related products, for referencing and stimulating the ideas of color design. Previous researches on color image retrieval consider the color of an image as a whole eigenvector for efficient computation of color similarity. But they are not suitable for a computer aided color design tool development. In this paper, we propose a framework of a computer aided color design tool and a novel image retrieval algorithm based on a layered HSV model to calculate H, S and V histogram similarity separately and apply them sequentially to retrieve related color designs gradually. The experimental results show that the proposed color design tool can assist designers to effectively retrieve similar color design images for referencing based on a user specified color design scheme.",
keywords = "color design process, color histogram, image retrieval, layered HSV model, similarity calculation",
author = "Wenke Kang and Shengfeng Qin and Dengkai Chen",
note = "Publisher Copyright: {\textcopyright} 2014 Chinese Automation and Computing Society in the UK-CACS.; 20th International Conference on Automation and Computing, ICAC 2014 ; Conference date: 12-09-2014 Through 13-09-2014",
year = "2014",
month = oct,
day = "24",
doi = "10.1109/IConAC.2014.6935492",
language = "英语",
series = "ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing: Future Automation, Computing and Manufacturing",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "231--236",
editor = "Xichun Luo and Yi Cao and Zhen Tong",
booktitle = "ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing",
}