A scaled morphological toggle operator for image transformations

Brazilian Symposium of Computer Graphic and Image Processing

Volumn , Issue , 2006, Pages 323-330

  Leite, Neucimar Jerônimo ^a   Dorini, Leyza Baldo ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT BASED RETRIEVAL; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; INFORMATION RETRIEVAL;

DECISION RULES; IMAGE TRANSFORMATIONS; MORPHOLOGICAL OPERATIONS; SIGNAL REPRESENTATIONS;

MATHEMATICAL OPERATORS;

EID: 34948839372     PISSN: 15301834     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIBGRAPI.2006.2     Document Type: Conference Paper

References (23)

1. R. Haralick, S. Stenberg, and X. Zhuang. Image analysis using mathematical morphology. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-9(4):532-550, 1987.
2. P. Jackway. Gradient watershed in morphological scale-space. IEEE Transactions on Image Processing, 15:913-921, 1996.
3. P. Jackway and M. Deriche. Scale-space proprieties of the multiscale morphological dilation-erosion. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18:38-51, 1996.
4. B. Jang and R. Chin. Morphological scale-space for 2d shape smoothing. Computer Vision and Image Understanding, 70(2):121-141, 1998.
5. J. Kapur, P. Sahoo, and A. Wong. A new method for graylevel picture thresholding using the entropy of the histogram. Computer Vision, Graphics, and Image Processing, 29:273-285, 1985.
6. H. P. Kramer and J. B. Bruckner. Iterations of a non-linear transformation for enhancement of digital images. Pattern Recognition, 7:53-58, 1975.
7. N. J. Leite and M. D. Teixeira. Morphological scale-space theory for segmentation problems. In IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, pages 364-368, 1999.
8. N. J. Leite and M. D. Teixeira. An idempotent scale-space approach for morphological segmentation. In Mathematical Morphology and its Applications to Image and Signal Processing, pages 291-300. Kluwer Academic Publishers, 2000.
9. L. Lifshitz and S. Pizer. A multiresolution hierarchical approach to image segmentation based on intensity extrema. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(4):529-540, 1990.
10. J. Marsden and M. Hoffman. Elementary Classical Analysis. Freeman, 1993.
11. G. Matheron. Random Sets and Integral Geometry. John Wiley and Sons, 1975.
12. N. Otsu. A threshold selection method from grey-level histograms. IEEE Transactions on Systems, Man and Cybernetics, 9(1):377-393, 1979.
13. K. Park and C. Lee. Scale-space using mathematical morphology. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(11):1121-1126, 1996.
14. J. Parker. Algorithms for Image Processing and Computer Vision. Wiley, 1996.
15. T. Ridler and S. Calvard. Picture thresholding using a iterative selection method. IEEE Transactions on Systems, Man and Cybernetics, SMC-8(8):233-260, 1978.
16. A. Rosenfeld and A. Kak. Digital Picture Processing. Academic Press, 1982.
17. J. G. M. Schavemaker, M. J. T. Reinders, J. Gerbrands, and E. Backer. Image sharpening by morphological filtering. Pattern Recognition, 33:997-1012, 1999.
18. J. Serra. Image Analysis and Mathematical Morphology. Academic Press, 1982.
19. J. Serra. Image Analysis and Mathematical Morphology, volume 2: Theoretical Advances. Academic Press, 1988.
20. J. Serra and L. Vicent. An overview of morphological filtering. Circuits, Systems and Signal Processing, 11(1):47-108, 1992.
21. P. Soille. Morphological Image Analysis: Principles and Applications. Springer-Verlag, 2003.
22. P. Wellner. Adaptive thresholding for the digital desk. Technical Report EPC1993-110, Xerox, 1993.
23. A. P. Witkin. Scale-space filtering: a new approach to multiscale description. In Image Understanding, pages 79-95. Ablex, 1984.