Segmenting focused objects in complex visual images

Pattern Recognition Letters

Volumn 19, Issue 10, 1998, Pages 929-940

  Tsai, Du Ming ^a   Wang, Hu Jong ^a  

^a YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

Defocus; Edge blur; Focused objects; Moment preserving; Segmentation

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER VISION; IMAGE ANALYSIS; PATTERN RECOGNITION;

DEFOCUS; EDGE BLUR; FOCUSED OBJECT; UNSUPERVISED EDGE BASED SEGMENTATION;

IMAGE SEGMENTATION;

EID: 0032131666     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(98)00078-6     Document Type: Article

References (20)

1. Besl, P.J., Jain, R.C., 1988. Segmentation through variable-order surface fitting. IEEE Trans. Pattern Anal. Machine Intell. 10, 167-192.
2. Browning, J.D., Tanimoto, S.L., 1982. Segmentation of pictures into regions with a tile by tile method. Pattern Recognition 15, 1-10.
3. Foley, J.D., van Dam, A., Feiner, S.K., Hughes, J.F., 1996. Computer Graphics. Addison-Wesley, Reading, MA.
4. Fukaka, Y., 1980. Spatial clustering procedures for region analysis. Pattern Recognition 12, 395-403.
5. Gonzalez, R.C., Woods, R.E., 1992. Digital Image Processing. Addison-Wesley, Reading, MA.
6. Goshtasby, A., Shyu, H.-L., 1995. Edge detection by curve fitting. Image Vision Comput. 13, 169-177.
7. Horowitz, S.L., Pavlidis, T., 1976. Picture segmentation by a tree traversal algorithm. J. Assoc. Comput. Mach. 23, 368-388.
8. Hsiao, J.Y., Sawchuk, A.A., 1989. Supervised textured image segmentation using feature smoothing and probabilistic relaxation techniques. IEEE Trans. Pattern Anal. Machine Intell. 11, 1279-1292.
9. Jain, A.K., Dubes, R.C., 1988. Algorithms for Clustering Data. Prentice-Hall, Englewood Cliffs, NJ.
10. Jain, A.K., Ratha, N.K., Lakshmanan, S., 1997. Object detection using Gabor filters. Pattern Recognition 30, 295-309.
11. Jain, R., Kasturi, R., Schunck, B.G., 1995. Machine Vision. McGraw-Hill, New York.
12. Lai, S.-H., Fu, C.-W., 1992. A generalized depth estimation algorithm with a single image. IEEE Trans. Pattern Anal. Machine Intell. 14, 405-411.
13. Otsu, N., 1979. A threshold selection method for gray-level histogram. IEEE Trans. Systems Man Cybernet. 9, 62-66.
14. Pal, N.R., Pal, S.K., 1993. A review on image segmentation techniques. Pattern Recognition 29, 1277-1294.
15. Pentland, A.P., 1987. A new sense for depth of field. IEEE Trans. Pattern Anal. Machine Intell. 9, 523-531.
16. Tsai, D.-M., Chen, Y.-H., 1992. A fast histogram-clustering approach for multi-level thresholding. Pattern Recognition Letters 13, 245-252.
17. Tsai, W.-H., 1985. Moment-preserving thresholding: a new approach. Comput. Vision Graphics Image Process. 29, 377-393.
18. Xie, M., 1992. Edge linking by using causal neighborhood window. Pattern Recognition Letters 13, 647-656.
19. Xie, M., Thonnat, M., 1992. An algorithm for finding closed curves. Pattern Recognition Letters 13, 73-81.
20. Zhou, Y.T., Venkateswar, V., Chellappa, R., 1989. Edge detection and linear feature extraction using a 2-D random field model. IEEE Trans. Pattern Anal. Machine Intell. 11, 84-95.