An improved region growing algorithm for image segmentation

Proceedings - International Conference on Computer Science and Software Engineering, CSSE 2008

Volumn 6, Issue , 2008, Pages 93-96

  Weihong, Cui ^a   Zequn, Guan ^a   Zhiyi, Zhang ^b  

^a WUHAN UNIVERSITY   (China)

^b Hubei Bureau of Surveying and Mapping   (China)

Author keywords

Cloud model; Homogeneity criterion; Image segmentation; Region grow; Seeds selection

Indexed keywords

ADAPTIVE SEGMENTATION; CLOUD MODELS; GROWING RULES; HIGH RESOLUTION REMOTE SENSING; HOMOGENEITY CRITERION; HUMAN BEING; IMAGE FORMATIONS; PHOTO IMAGES; REGION GROW; REGION GROWING; REGION GROWING ALGORITHM; SAMPLE LOCATION; UNCERTAINTY THEORY;

IMAGE ENHANCEMENT; IMAGE RECONSTRUCTION; REMOTE SENSING; SEED; SOFTWARE ENGINEERING;

IMAGE SEGMENTATION;

EID: 79951527312     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSSE.2008.891     Document Type: Conference Paper

References (6)

1. Zhang Y-J. Image Segmentation (in Chinese), Science Press, Beijing, 2001
2. Shu-Yen Wan, William E. Higgins, "Symmetric Region Growing", IEEE Trans. Image Processing, vol.12, no.9, Sept 2003, pp.1007-1015.
3. Frank Y. Shih, Shouxian Cheng, "Automatic seeded region growing for color image segmentation", Image and Vision Computing, 23 (2005) pp.877-886
4. H. Moravec. "Obstacle avoidance and navigation in the real world by a seeing robot rover", Technical Report CMU-RI-TR-3, Carnegie-Mellon University, Robotics Institute, 1980.
5. Li de-yi, Du yi, Uncertainty artificial intelligence(in Chinese), National Defence Industrial Press,Beijing, 2005.
6. RPohle, K.D.Toennies, "Segmentation of medical images using adaptive region growing", Proceedings of SPIE (Medical Imaging 2001), San Diego, vol. 4322, pp. 1337-1346.