@inproceedings{a399a73575574729a6c275f520abda0b,
title = "An improved classified vector quantization for medical image",
abstract = "With the development of medical device, high quality medical image is widely used. Image compression makes it convenient for image storage and transmission. Based on classified vector quantization, an improved vector quantization compression method using structural similarity index and genetic algorithm is proposed. The proposed method is tested using public database and comparison study shows that it is efficient for medical image compression.",
keywords = "GA, SSIM, compression, medical image",
author = "Wanjun Zhang and Huiqi Li and Xiaofei Long",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 ; Conference date: 15-06-2015 Through 17-06-2015",
year = "2015",
month = nov,
day = "20",
doi = "10.1109/ICIEA.2015.7334118",
language = "English",
series = "Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "238--241",
booktitle = "Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015",
address = "United States",
}