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Evaluating the performance of various segmentation techniques in industrial radiographs

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1. Ananth, A. G. Classification ofa Satellite Rural Image Based on Fractal Dimension Using Box Counting Method. - International Journal of Computer Applications, Vol. 16, 2011, No 5, 45-48.10.5120/2041-2640Search in Google Scholar

2. Wu, B.-F., Y.-L. Chen, C.-C. Chiu. A New Region-Based Segmentation Method for Complex Document Image Analysis. - International Journal of Computational Science and Engineering, Vol. 1, 2005, 34-44.10.1504/IJCSE.2005.008909Search in Google Scholar

3. Funck, Y. Zhon g, D. A. Butler, C. Brunner, J. B. Forrer. Image Segmentation Algorithms Applied to Wood Defect Detection. - Computers and Electronics in Agriculture, Vol. 41, 2003, Issue 1-3, 157-179.10.1016/S0168-1699(03)00049-8Search in Google Scholar

4. Alnihoud, J., Al Bayt. An Efficient Region-Based Approach for Object Recognition and Retrieval Based on Mathematical Morphology and Correlation Coefficient. - The International Arab Journal of Information Technology, Vol. 5, 2008, 154-161.Search in Google Scholar

5. Kekre, M. S., S. M. Gharge, H. B. Kekre. Image Segmentation Using Extended Edge Operator for Mammography Images. - International Journal on Computer Science and Engineering, Vol. 02, 2010, No 04, 1086-1091.Search in Google Scholar

6. Kekre, P. M., S. Wadhwa. Image Retrieval With Shape Features Extracted Using Gradient Operators and Slope Magnitude Technique With Btc. - International Journal of Computer Applications, Vol. 6, 2010, Article 1, No 6, 28-33.10.5120/1094-1430Search in Google Scholar

7. Kaushal, M., A. Sing h, B. Sing h. Adaptive Thresholding for Edge Detection in Gray Scale Images. - International Journal of Engineering Science and Technology, Vol. 2, 2010, No 6, 2077-2082.Search in Google Scholar

8. Anouncia, M., R. Saravanan. A Knowledge Model for Gray Scale Image Interpretation With Emphasis on Welding Defect Classification-An Ontology Based Approach. - Computers in Industry, Vol. 61, 2010, 742-749.10.1016/j.compind.2010.05.003Search in Google Scholar

9. Zarqa, N. S. Image Segmentation Based on Watershed and Edge Detection Techniques. - The International Arab Journal of Information Technology, Vol. 3, 2006, No 2, 104-110.Search in Google Scholar

10. Zhu, N., G. Wang, G. Yang, W. Dail. A Fast 2d Otsu Thresholding Algorithm Based on Improved Histogram. - In: Proceedings on IEEE Provincial Key Laboratory for Computer Information Processing Technology, 1-5.Search in Google Scholar

11. Verma, Om Prakas h, Madasu Hanmandlu, Seba Susan, Muralidhar Kulkarni, Puneet Kumar Jain. A Simple Single Seeded Region Growing Algorithm for Color Image Segmentation Using Adaptive Thresholding. - In: Proceedings on IEEE Communication Systems and Network Technologies, 2011, 500-503.10.1109/CSNT.2011.107Search in Google Scholar

12. Padmavathi, Mr. M. Muthukumar, Mr. Suresh Kumar Thakur. Non Linear Image Segmentation Using Fuzzy C Means Clustering Method With Thresholding for Underwater Images. - International Journal of Computer Science Issues, Vol. 7, 2010, Issue 3, No 9, 35-40.Search in Google Scholar

13. Liao, P.-S., T.-S. Chen, P.-C. Chung. A Fast Algorithm for Multilevel Thresholding. - Journal of Information Science and Engineering, Vol. 17, 2001, 713-727.Search in Google Scholar

14. Vilar, R., J. Zapata, R. Ruiz. An Automatic System of Classification of Weld Defects in Radiographic Images. - NDT & E International, Vol. 42, 2009, No 5, 467-476.10.1016/j.ndteint.2009.02.004Search in Google Scholar

15. Tianshi, S. G., G. D. Koller. Region-Based Segmentation and Object Detection. Department of Electrical Engineering, Stanford University’, Advances in Neural Information Processing Systems, Vol. 22, 2009, 1865-1868.Search in Google Scholar

16. Tatiraju, S., A. Mehta. Image Segmentation Using k-Means Clustering, em and Normalized Cuts. - IEEE Computer Vision and Pattern Recognition, 2006, 731-737.Search in Google Scholar

17. Tabrizi, Z. Z., F. Asdaghi, M. Fath, M. R. Jahe d-Motlag h. Gradual Shot Boundary Detection and Classification Based on Fractal Analysis. - World Academy of Science, Engineering and Technology, Vol. 68, 2010, Article 234, 1360-1365.Search in Google Scholar

18. Najafabadi, F. S., H. Pourghassem. Corner Defect Detection Based on Dot Product in Ceramic Tile Images. - IEEE 7th International Colloquium on Signal Processing and its Applications, 2011, 293-297.Search in Google Scholar

19. Mu, H., D. Qi, M. Zhang, L. Yu. Image Edge Detection of Wood Defects Based on Multifractal Analysis. - In: Proceedings on IEEE International Conference on Automation and Logistics, 2008, 1232-1237.Search in Google Scholar

20. Zhang, M., X. Li, Z. Yang, Y. Yang. A Novel Zero-Crossing Edge Detection Method Based on Multi-Scale Space Theory. - In: Proceedings on IEEE International Conference on Signal Processing (ICSP), 2010, 1036-1039.10.1109/ICOSP.2010.5655905Search in Google Scholar

21. Salih, Q. A., A. R. Ramli. Region Based Segmentation Technique and Algorithms for 3D Image. - In: Proceedings on IEEE International Symposium on Signal Processing and its Applications, Vol. 2, 2001, 747-748.Search in Google Scholar

22. Thacker, T. M. Solving Shape Based Object Recognition froma Computational Standpoint- Practical and Physiological Constraints. Internal Working Document-Presented as External Seminar at University of Surrey, 2001, 2000-2002.Search in Google Scholar

23. De Moura, V. E. P., L. L. Goncalves, J. M. A. Rebello. Characterization of Welding Defects by Fractal Analysis of Ultrasonic Signals. - Science Direct, Chaos, Solutions & Fractals, Vol. 38, 2008, Issue 3, 748-754.10.1016/j.chaos.2007.01.012Search in Google Scholar

24. Wang, X., B. S. Wong, C. G. Tui, K. P. Khoo, F. Foo. Image Enhancement for Radiographic Non-Destructive Inspection of the Aircraft. - In: Proceedings on 12th Asia- Pacific Conference on NDT, 2006, No 24.Search in Google Scholar

25. Zheng, Y., Q. Zhang, H. X. Salient. Salient Region Detection Based on Automatic Feature Selection. - In: Proceedings on Third International Symposium on Intelligent Information Technology Application, 2009, 232-235.10.1109/IITA.2009.145Search in Google Scholar

26. Hocenski, Z., S. Vasilić, V. Hocenski. Improved Canny Edge Detector in Ceramic Tiles Defect Detection. - In: Proceedings on 32nd Annual Conference on IEEE Industrial Electronics IECON 2006, 3328-3331. 10.1109/IECON.2006.347535Search in Google Scholar

eISSN:
1314-4081
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Computer Sciences, Information Technology