A Novel Automatic Seed Placement Approach for Region Growing segmentation in Mammograms
Author:
Affiliation:
1. Department of Informatics, LRI labo, Badji-Mokhtar Annaba University, P.O. Box 12, 23000, Annaba, Algeria
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2816839.2816892
Reference13 articles.
1. Seeded region growing
2. Mehnert A. and Jackway P. 1997. An improved seeded region growing algorithm. Pattern Recognition letters 18 10(1997) 1065--1071. 10.1016/S0167-8655(97)00131-1 Mehnert A. and Jackway P. 1997. An improved seeded region growing algorithm. Pattern Recognition letters 18 10(1997) 1065--1071. 10.1016/S0167-8655(97)00131-1
3. Seeded region growing: an extensive and comparative study
4. Automatic image segmentation by integrating color-edge extraction and seeded region growing
5. Pan Z. and Lu J. 2007. A Bayes-Based Region-Growing algorithm for medical image segmentation. Computing in Science and Engineering 9 (2007) 32--38. 10.1109/MCSE.2007.67 Pan Z. and Lu J. 2007. A Bayes-Based Region-Growing algorithm for medical image segmentation. Computing in Science and Engineering 9 (2007) 32--38. 10.1109/MCSE.2007.67
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