An algorithm on processing medical image based on rough-set and genetic algorithm

5th Int. Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd Int. Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008

Volumn , Issue , 2008, Pages 109-111

  Yongmei, Hu ^a   Xiaona, Jiang ^a   Fengqin, Xin ^b   Tianyi, Zhang ^a   Jianping, Yuan ^a   Lihong, Zhai ^a   Chunhua, Guo ^a  

^a SHANDONG UNIVERSITY   (China)

^b UNIVERSITY OF JINAN   (China)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHM (GA); IMAGE BASED; INTERNATIONAL CONFERENCES; INTERNATIONAL SYMPOSIUM; SUMMER SCHOOLS;

ALGORITHMS; APPLICATIONS; BIOELECTRIC PHENOMENA; CLASSIFICATION (OF INFORMATION); DIESEL ENGINES; GENETIC ALGORITHMS; IMAGE ENHANCEMENT; INFORMATION TECHNOLOGY; OPTIMIZATION; TECHNOLOGY;

SET THEORY;

EID: 51849114287     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITAB.2008.4570548     Document Type: Conference Paper

References (6)

1. Akash Mohabey,A.K.R.ay. Rough set theory based segmentation, of color images. IEEE, 2000, 338-342.
2. Wenxiu Zhang. Rough Sets Theory and Method. Science Press. 2000
3. Guangjun Dong. The Image Intellectualized Enhancing Based on Rough Set Theory. Computer Engineering 2003, vol.13.
4. Guoying Liu. Edge Detection of Noisy Image Based on Rough-set. Computer and Information Technology 2003, vol.11 (4): 6-8.
5. Lizhong Xu, Huimin Wang. Application of Rough-set in Image Enhancement. Journal of Data Acquisition & Processing 1999, vol.14 (3): 307-310.
6. Shoji Hirano, Xiaoguan Sun. Dealing with multiple types of expert knowledge in medical image segmentation a rough sets style approach. IEEE, 2002, 884-889.