Morphometric shape analysis and ultrastructural data are provided for six genodemes of the Sellaphora pupula species complex that have been studied during the last 20 years from Blackford Pond, Edi

/pdf/the-sellaphora-pupula-species-complex-bacillariophyceae-299nb9xlmp.pdf

The Sellaphora pupula species complex (Bacillariophyceae): morphometric analysis, ultrastructure and mating data provide evidence for five new species

The Diatoms: Numerical methods for the analysis of diatom assemblage data

https://vision-cdc.csiro.au/changs/doc/sun-pallottino03pr2.pdf

Circular shortest path in images

Shape clustering can significantly facilitate the automatic labeling of objects present in image collections. For example, it could outline the existing groups of pathological cells in a bank of cyto-images; the groups of species on photographs collected from certain aerials; or the groups of objects observed on surveillance scenes from an office building. Here we demonstrate that a nonlinear projection algorithm such as Isomap can attract together shapes of similar objects, suggesting the existence of isometry between the shape space and a low dimensional nonlinear embedding. Whenever there is a relatively small amount of noise in the data, the projection forms compact, convex clusters that can easily be learned by a subsequent partitioning scheme. We further propose a modification of the Isomap projection based on the concept of degree-bounded minimum spanning trees. The proposed approach is demonstrated to move apart bridged clusters and to alleviate the effect of noise in the data.

/pdf/manifold-clustering-of-shapes-3lafll7nkh.pdf

Manifold Clustering of Shapes

Combining diverse on-line and off-line systems for handwritten text line recognition

This paper introduces the project ADIAC (Automatic Diatom Identification and Classification), which started in May 1998 and which is financed by the European MAST (Marine Science and Technology) programme. The main goal is to develop algorithms for an automatic identification of diatoms using image information, both valve shape (contour) and ornamentation. The paper presents the goals of the project as well as first results on shape modeling and contour extraction. Public data are available in order to create student projects beyond the ADIAC partnership.

/pdf/diatom-identification-a-double-challenge-called-adiac-430hhmc9w6.pdf

Diatom identification: a double challenge called ADIAC

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Diatom identification: a double challenge called ADIAC