# Search results for: Ullrich Köthe

British Journal of Mathematical and Statistical Psychology > 73 > 1 > 23 - 43

International Journal of Computer Assisted Radiology and Surgery > 2019 > 14 > 6 > 997-1007

*strongr*-

*similarity*and the

*morphing distance*to bound geometric distortions between shapes of equal topology. We then derive a necessary and sufficient condition for a set and its digitizations to be

*r*-similar, regardless of the sampling grid. We also extend these results to certain gray scale images. Our findings are steps towards a theory of shape digitization for real optical systems.

Lecture Notes in Computer Science > Pattern Recognition > Segmentation > 502-511

*prior*to feature localization. We argue that an approach in morphological opening-closing scale-space is better than one in Gaussian scale-space. The proposed operator is based on a new shape decomposition method called morphological band-pass filter that decomposes an image into structures of different size

*and*...

Lecture Notes in Computer Science > Graph-Based Representations in Pattern Recognition > Combinatorial Maps > 132-141

Lecture Notes in Computer Science > Pattern Recognition > Features > 111-120

*XPMaps*as a concept that subsumes the important characteristics of the other approaches. The notion of

*topological segmentations*...

Lecture Notes in Computer Science > Generic Programming > Applications > 232-248

*Standard Template Library*(

*STL*) are appropriate for library design in this realm. We will discuss this question in view of selected fundamental algorithms and data structures.

Lecture Notes in Computer Science > Discrete Geometry for Computer Imagery > Uncertain Geometry > 383-391

Lecture Notes in Computer Science > Combinatorial Image Analysis > Image Representation and Segmentation > 116-130

*α*-shapes to prove that topologically correct segmentations can be obtained under much more realistic conditions. Our key assumption is that sampling points represent object

*boundaries*with a certain maximum error. Experiments on real and generated...

Lecture Notes in Computer Science > Discrete Geometry for Computer Imagery > Discrete and Combinatorial Tools for Image Segmentation and Analysis > 193-202

Lecture Notes in Computer Science > Discrete Geometry for Computer Imagery > Discrete and Combinatorial Tools for Image Segmentation and Analysis > 180-192

Lecture Notes in Computer Science > Pattern Recognition > Medical Image Processing and Segmentation > 142-152