@inproceedings{5b74834de242449ba5c1fcb72df21c06,
title = "Research on online detection of steel plate head and tail shape",
abstract = "This paper aims to research the on-line measurement of the steel plate head and tail shape, and to measure the steel head and tail geometry size by using digital image processing and computer vision technology. The image gathered from high precision CCD camera is segmented with using the method based on the improved local binary fitting (LBF) model. The head and tail shape and size of steel plate is accurately measured, which provides the basis data for the follow-up steel rolling and shearing process.",
keywords = "Head and tail shape, Image process, Local binary fitting (LBF) model, Online detection",
author = "Sun, {Ying Ke} and Yao, {Xiao Lan}",
year = "2014",
doi = "10.4028/www.scientific.net/AMR.909.269",
language = "English",
isbn = "9783038350590",
series = "Advanced Materials Research",
publisher = "Trans Tech Publications",
pages = "269--275",
booktitle = "Manufacturing and Applied Research",
address = "Germany",
note = "2nd International Conference on Manufacturing, Manufacturing 2014 ; Conference date: 09-02-2014 Through 10-02-2014",
}