Multiresolution-based watersheds for efficient image segmentation

Pattern Recognition Letters

Volumn 24, Issue 1-3, 2003, Pages 473-488

  Kim, Jong Bae ^a   Kim, Hang Joon ^a  

^a Kyungpook National University   (South Korea)

Author keywords

Image segmentation; Multiresolution image analysis; Watershed image segmentation; Wavelet transform

Indexed keywords

ALGORITHMS; OPTICAL RESOLVING POWER; WATERSHEDS; WAVELET TRANSFORMS;

MULTIRESOLUTION APPLICATIONS;

IMAGE SEGMENTATION;

IMAGE PROCESSING;

EID: 0037235769     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(02)00270-2     Document Type: Article

References (20)

1. Alan, C.B., 2000. Handbook of Image and Video Processing. Academic Press, San diego, USA.
2. Beucher, S., Lantuejoul, C., 1979. Use of watershed in contour detection. International Workshop on Image Processing, Real-Time Edge and Motion Detection Estimation France, pp. 12-21.
3. Bhandarkar, S.M., Hui, Z., 1999. Image segmentation using evolutionary computation. IEEE Trans. Evolut. Comput. 3 (1), 1-21.
4. Fuhui, L., Dagan, F., Hanchuan, P., Wan, C.S., 2001. Extracting semantic video objects. IEEE Comput. Graph. Applicat. (January/February), 48-55.
5. Gonzalez, R.C., Woods, R.E., 2002. Digital Image Processing, second ed. Prentice-Hall, Reading, NJ, USA.
6. Gu, C., Lee, M.C., 1998. Semiautomatic segmentation and tracking of semantic video objects. IEEE Trans. Circuit Syst. Video Tech. 8 (5), 572-584.
7. Jain, A.K., Dubes, R.K., 1988. Algorithms for Clustering Data. Prentice Hall, Engiewood Cliffs, NJ.
8. Kim, H.J., Kim, E.Y., Kim, J.W., Park, S.H., 1998. MRF model based image segmentation using hierarchical distributed genetic algorithm. IEE Electron. Lett. 34 (25), 1394-1395.
9. Kim, H.S., Kim, E.Y., Hwang, S.W., Kim, H.J., 2000. Object-based human face detection. In: Proceedings of the IEEE Consumer Electronics, pp. 354-355.
10. Kim, E.Y., Hwang, S.W., Park, S.H., Kim, H.J., 2001a. Spatiotemporal segmentation using genetic algorithms. Patt. Recognit. 34, 2063-2066.
11. Kim, J.B., Lee, C.W., Yun, T.S., Lee, K.M., Kim, H.J., 2001. Wavelet-based vehicle tracking for automatic traffic surveillance. In: Proceedings of the IEEE Tencon'01, Singapore, pp. 313-316.
12. Liu, J., Yang, Y.H., 1994. Multiresolution color image segmentation. IEEE Trans. Patt. Anal. Mach. Intell. 16 (7), 689-700.
13. Mallat, S.G., 1989. A theory for multiresolution signal decomposition: The wavelet representation. IEEE Trans. Patt. Anal. Mach. Intell. 11 (7), 674-693.
14. Meyer, F., Beucher, S., 1990. Morphological segmentation. J. Vis. Commun. Image Rep. 1 (1), 21-46.
15. Pal, N.R., Pal, S.K., 1993. A review on image segmentation techniques. Patt. Recognit. 26 (9), 1277-1294.
16. Pastor, L., Rodríguez, A., Espadero, J.M., Rincón, L., 2001. 3D wavelet-based multiresolution object representation. Patt. Recognit. 34 (12), 2497-2513.
17. Rezaee, M.R., van der Zwet, P.M.J., Lelieveldt, B.P.E., van der Geest, R.J., Reiber, J.H.C., 2000. A multiresolution image segmentation technique based on pyramidal segmentation and fuzzy clustering IEEE Trans. Image Process, 9 (7), 1238-1248.
18. Salgado, L., Garcia, N., Menendez, J.M., Rendon, E., 2000. Efficient image segmentation for region-based motion estimation and compensation. IEEE Trans. Circuit Syst. Video Tech. 10 (7), 1029-1039.
19. Vincent, L., Soille, P., 1991. Watershed in digital space: An efficient algorithm based on immersion simulation. IEEE Trans. Patt. Anal. Mach. Intell. 13 (6), 583-598.
20. Wang, J.Z., Li, J., Gray, R.M., Wiederhold, G., 2001. Unsupervised multiresolution segmentation for images with low depth of field. IEEE Trans. Patt. Anal. Mach. Intell. 23 (1), 85-90.