Thresholding Gray-Scale Images To Produce Bitonal Images
作者： Hui Zhou
DOI:
关键词:
摘要: Thresholding gray-scale images to produce bitonal images. In one example embodiment, a method for thresholding image includes several acts. First, first portion of pixels the are thresholded based on global threshold and edge strength information. Next, second local pixel Finally, third threshold.
lens.org 参考文章(21)
Young-Chul Kim, Min-Ki Yeo, Dong-Yool Kim, Yong-Woo Park, Hideki Koide, Hong-Jik Lee, Document image signal processor having an adaptive threshold ,(1990)
Reiner Eschbach, Basak Oztan, Amal Z. Malik, Zhigang Fan, Removing ringing and blocking artifacts from JPEG compressed document images ,(2006)
Hongsheng Zhao, Yulin Li, Jie Wang, Image processing method and apparatus using self-adaptive binarization ,(2002)
Amir Averbuch, Ofer Miller, Automatic object extraction ,(2001)
Kottappuram Mohamedali Mohiuddin, Raymond Amand Lorie, Jianchang Mao, Method and means for extracting fixed-pitch characters on noisy images with complex background prior to character recognition ,(1996)
X. Wu, N. Memon, Context-based, adaptive, lossless image coding IEEE Transactions on Communications. ,vol. 45, pp. 437- 444 ,(1997) , 10.1109/26.585919
E. Kavallieratou, S. Stathis, Adaptive Binarization of Historical Document Images international conference on pattern recognition. ,vol. 3, pp. 742- 745 ,(2006) , 10.1109/ICPR.2006.216
Mehmet Sezgin, Bu¨ lent Sankur, Survey over image thresholding techniques and quantitative performance evaluation Journal of Electronic Imaging. ,vol. 13, pp. 146- 165 ,(2004) , 10.1117/1.1631315
Bor-Shenn Jeng, Kuo-Chin Fan, Quen-Zong Wu, Hsu-Yung Cheng, Binarization method based on pixel-level dynamic thresholds for change detection in image sequences Journal of Information Science and Engineering. ,vol. 22, pp. 545- 557 ,(2006)
Moon-Soo Chang, Sun-Mee Kang, Woo-Sik Rho, Heok-Gu Kim, Duck-Jin Kim, Improved binarization algorithm for document image by histogram and edge detection international conference on document analysis and recognition. ,vol. 2, pp. 636- 639 ,(1995) , 10.1109/ICDAR.1995.601976