Oversegmentation reduction by flooding regions and digging watershed lines

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 20, Issue 1, 2006, Pages 15-38

  Frucci, Maria ^a,b  

^a CNR   (Italy)

^b UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

Hooding; digging; Mathematical morphology; Region significance; Segmentation; Watershed transformation

Indexed keywords

DIGGING SCHEME; FLOODING REGIONS; GREY-TONE IMAGE; HOODING; REGION SIGNIFICANCE; REGIONAL MINIMA;

ASTRONOMY; CATCHMENTS; IMAGE SEGMENTATION; MATHEMATICAL MORPHOLOGY;

WATERSHEDS;

EID: 33645011100     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001406004533     Document Type: Article

References (15)

1. R. Adams and L. Bischof, Seeded region growing, IEEE Trans. Patt. Anal. Mach. Intell. 16(6) (1994) 641-647.
2. S. Beucher and G. Lantuéjoul, Use of watersheds in contour detection. Proc. Int. Workshop on Image Processing, Real-time Edge and Motion Detection/Estimation, Rennes, France (1979), pp. 12-21.
3. S. Beucher, Watershed of functions and picture segmentation, Proc. Int. Conf. Acoustics. Speech and Signal Processing, Paris, France (1982), pp. 1928-1931.
4. S. Beucher and F. Meyer, The morphological approach to segmentation: the watershed transformation, in Mathematical Morphology in Image Processing, ed. E. R. Dougherty (Dekker, NY, 1993), pp. 433-481.
5. A. Bleau and L. J. Leon, Watershed-based segmentation and region merging, Comput. Vis. Imag. Underst. 77 (2000) 317-370.
6. R. M. Haralick and L. G. Shapiro, Survey: image segmentation techniques. Comput. Vis. Graph. Im. Proc. 29 (1985) 100-132.
7. R. M. Haralick, S. Sternberg and X. Zhuang, Image analysis using mathematical morphology, IEEE Trans. Patt. Anal. Mach. Intell. 9 (1987) 532-550.
8. F. Meyer and S. Beucher, Morphological segmentation, J. Vis. Commun. Imag. Repres. 1(1) (1990) 21-46.
9. F. Meyer. Topographic distance and watershed lines. Sign. Process, 38 (1994) 113-125.
10. F. Meyer, An overview of morphological segmentation, Int. J. Patt. Recogn. Artifi. Intell. 15(7) (2001) 1089-1118.
11. J. B. T. M. Roerdink and A. Meijster, The watershed transform: definitions, algorithms and parallelization strategies, Fund. Inform. 41 (IOS Press, 2001), pp. 187-228.
12. J. Serra, Image Analysis and Mathematical Morphology (Academic Press, NY, 1982).
13. P. Soille, Morphological Image Analysis: Principles and Applications, 2nd edn. (Springer, Berlin, 2003).
14. L. Vincent and P. Soille, Watersheds in digital spaces: An efficient algorithm based on immersion simulations, IEEE Trans. Patt. Anal. Mach. Intell. 13(6) (1991) 583-598.
15. L. Vincent, Morphological grayscale reconstruction in image analysis: Applications and efficient algorithms, IEEE Trans. Imag. Process. 2 (1993) 176-201.