Evaluation of Binarization Methods Using Global Threshold for Chinese Rubbing Images
- 10.2991/meic-15.2015.53How to use a DOI?
- Thresholding;Chinese rubbing image; Ostu’s thresholding; Image segmentation; FCM
There are a huge amount of historical Chinese rubbing images in different library that have not been exploited electronically. However, many invaluable collections of rubbing images are already digitized and indexed for consulting, exchange and distant access purposes which protect them from direct manipulation. In many applications of digital rubbing image, the use of binary images can decrease the computational cost of the succeeding steps compared to using gray-level images. Thresholding is a simple but effective tool to separate characters from the background for rubbing image. In this paper, five global thresholding algorithms such as Histogram Isodata method, Minimum Cross Entropy(MCE) method, Kittler’s method, Maxium Entropy method,Ostu’s method and Fuzzy C-Means(FCM) clustering thresholding method that had been used widely by scholars have been researched. Two quantitative measure of comparison is provided by the Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) of the rubbing image for segmentation results.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhikai Huang AU - Junmei Xi PY - 2015/04 DA - 2015/04 TI - Evaluation of Binarization Methods Using Global Threshold for Chinese Rubbing Images BT - Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering PB - Atlantis Press SP - 222 EP - 226 SN - 2352-5401 UR - https://doi.org/10.2991/meic-15.2015.53 DO - 10.2991/meic-15.2015.53 ID - Huang2015/04 ER -