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Particle analysis is one of the most difficult tasks in material science and technology. Detection of size and shape of particles is important for gaining information about the material as well as for better control over the quality of the product. Image processing techniques predominantly segmentation technique provides effective analysis of size and shape features of material particles by segregating...
We introduce the new notion of multivalued component-tree, that extends the classical component-tree initially devoted to grey-level images, in the mathematical morphology framework. We prove that multivalued component-trees can model images whose values are hierarchically organized. We also show that they can be efficiently built from standard component-tree construction algorithms, and involved...
In this paper, we propose a new graph-based approach to address the problem of cytological computer-aided diagnostic. Such approach uses our previously introduced formalism of PdEs-based morphology and geometric diffusion on graphs. The approach is illustrated through two applications in cytopathology (involving Feulgen and Papanicolaou colorations), with examples of nucleus extraction and classification.
In this paper, we propose an active contour model using local morphology fitting for automatic vascular segmentation on 2-D angiogram. The vessel and background are fitted to fuzzy morphology maximum and minimum opening, separately, using linear structuring element with adaptive scale and orientation. The minimization of the energy associated with the active contour model is implemented within a level...
For obtainment of facula area of external insulation ultraviolet discharge figure automatically and accurately, a facula area extraction method based on active contour models was proposed in the paper. Of the active contour models, the ultraviolet discharge region contour was obtained by calculation of partial differential equation. The algorithm has global optimization capacity, which is different...
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