Recursive algorithm for three-dimensional Otsu's thresholding segmentation method

Tien Tzu Hsueh Pao/Acta Electronica Sinica

Volumn 35, Issue 7, 2007, Pages 1398-1402

  Fan, Jiu Lun ^a   Zhao, Feng ^a   Zhang, Xue Feng ^a,b  

^a XI AN UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b XIDIAN UNIVERSITY   (China)

Author keywords

3 D Otsu's method; Image segmentation; Threshold selection

Indexed keywords

MATLAB; PROBABILITY; SIGNAL TO NOISE RATIO;

RECURSIVE ALGORITHM; THRESHOLD SELECTION;

IMAGE SEGMENTATION;

EID: 34548178062     PISSN: 03722112     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. Sahoo P K, Soltani S, Wong A K C, Chen Y C. A survey of thresholding techniques [J]. Computer Vision, Graphics and Image Processing, 1988, 41: 233-260.
2. Pal N R, Pal S K. A review on image segmentation techniques [J]. Pattern Recognition, 1993, 26(9): 1277-1294.
3. Liu Jian zhuang, Su Wen qing. The automatic thresholding of gray-level picture via two-dimensional Otsu method [J]. Acta Automatica Sinica, 1993, 19(1): 101-105. (in Chinese)
4. Gong Jian, Li Li yuan, Chen Wei nan. Fast recursive algorithm for two-dimensional thresholding [J]. Pattern Recognition, 1998, 31(3): 295-300.
5. Wang Pei zhen, Yang Wei han. Image segmentation based on multi-level technique [J]. Journal of Anhui University of Technology, 2002, 3(19): 205-208. (in Chinese)
6. Yang Tian, Li De fang. Study of two-dimensional Otsu thresholding or grey image segmentation [J]. Journal of Southwest China Normal University, 1998, 23(6): 658-662 (in Chinese).
7. Jin Hong lei, Zhu Wei ping, Li Li yuan, Chen Wei nan. The best thresholding on 2-D gray level histogram [J]. Pattern Recognition and Artificial Intelligence. 1999, 12(3): 329-333. (in Chinese)
8. Jing Xiao jun, Li Jian feng, Liu Yu lin. Image Segmentation Based on 3-D Maximum Between-Cluster Variance [J]. Acta Electronic Sinica, 2003, 31(9): 1281-1285. (in Chinese)