Actas de congresos
Tie-zone Watershed, Bottlenecks And Segmentation Robustness Analysis
Registro en:
0769523897; 9780769523897
Brazilian Symposium Of Computer Graphic And Image Processing. , v. 2005, n. , p. 55 - 62, 2005.
15301834
10.1109/SIBGRAPI.2005.48
2-s2.0-33847310826
Autor
Audigier R.
De Alencar Lotufo R.
Institución
Resumen
In a recent paper [1], a new type of watershed (WS) transform was introduced: the tie-zone watershed (TZWS). This region-based watershed transform does not depend on arbitrary implementation and provides a unique (and thereby unbiased) optimal solution. Indeed, many optimal solutions are sometimes possible when segmenting an image by WS. The TZWS assigns each pixel to a catchment basin (CB) if in all solutions it belongs to this CB. Otherwise, the pixel is said to belong to a tie-zone (TZ). An efficient algorithm computing the TZWS and based on the Image Foresting Transform (IFT) was also proposed. In this article, we define the new concept of "bottlenecks" in the watermerging paradigm. Intuitively, the bottlenecks are the first contact points between at least two different wave fronts. They are pixels in the image where different colored waters meet and tie and from which may begin, therefore, the tie-zones. They represent the origin points or the access of the tie-zones (regions that cannot be labeled without making arbitrary choices). If they are preferentially assigned to one or another colored water according to an arbitrary processing order, as occurs in most of watershed algorithm, an entire region (its influence zone -the "bottle"!) is conquered together. The bottlenecks play therefore an important role in the bias that could be introduced by a WS implementation. It is why we show in this paper that both tie-zones and bottlenecks analysis can be associated with the robustness of a segmentation. © 2005 IEEE. 2005
55 62 Audigier, R., Lotufo, R., Couprie, M., The tie-zone watershed: Definition, algorithm and applications (2005) IEEE Proceedings of ICIP'05, , Genova, Italy, Sept, In press Beucher, S., Lantuéjoul, C., Use of watersheds in contour detection (1979) International Workshop on Image Processing, Real-Time Edge and Motion Detection/Estimation, , Rennes, France Couprie, M., Bertrand, G., Topological grayscale watershed transformation (1997) SPIE Vision Geometry VI Proceedings, 3168, pp. 136-146 Dijkstra, E., A note on two problems in connexion with graphs (1959) Numerische Mathematik Falcão, A., da Cunha, B., Lotufo, R., Design of connected operators using the image foresting transform (2001) SPIE on Medical Imaging, 4322, pp. 468-479. , Feb. 17-23 Falcão, A., Stolfi, J., Lotufo, R., The image foresting transform: Theory, algorithms, and applications (2004) IEEE Trans. on Pattern Analysis and Machine Intelligence, 26 (1), pp. 19-29. , Jan Lotufo, R., Falcão, A., The ordered queue and the optimality of the watershed approaches (2000) 5th International Symposium on Mathematical Morphology, pp. 341-350. , Palo Alto CA, USA, June, Kluwer Academic Lotufo, R., Falcão, A., Zampirolli, F., IFT-watershed from gray-scale marker (2002) Proceedings of the 15th Brazilian Symposium on Computer Graphics and Image Processing, pp. 146-152. , Fortaleza CE, Brazil, October, IEEE Computer Society Meyer, F., Topographic distance and watershed lines (1994) Signal Processing, 38 (1), pp. 113-125 Meyer, F., Beucher, S., Morphological segmentation (1990) Journal of Visual Communication and Image Processing, 1 (1), pp. 21-46 Najman, L., Couprie, M., Watershed algorithms and contrast preservation (2003) Lecture Notes in Computer Science, 2886, pp. 62-71. , Discrete geometry for computer imagery, of, Springer Roerdink, J., Meijster, A., The watershed transform: Definitions, algorithms and parallelization strategies (2000) Fundamenta Informaticae, 41 (1-2), pp. 187-228. , January Vincent, L., Soille, P., Watersheds in digital spaces: An efficient algorithm based on immersion simulations (1991) IEEE Trans, on Pattern Analysis and Machine Intelligence, 13 (6), pp. 583-598