Segmenting Microorganisms in Multi-modal Volumetric. Datasets Using a Modified Watershed Transform. Steven Bergner1, Regina Pohle1, Stephan Al-Zubi1, Klaus ...
We describe an algorithm to identify and count the organisms in multi-channel volumetric datasets. Our approach is an intermediate-level segmentation combining ...
Oct 10, 2002 · Our approach is an intermediate-level segmentation combining a voxel-based classification with low-level shape characteristics (convexity).
We describe an algorithm to identify and count the organisms in multi-channel volumetric datasets. Our approach is an intermediate-level segmentation combining ...
We describe an algorithm to identify and count the organisms in multi-channel volumetric datasets. Our approach is an intermediate-level segmentation combining ...
Apr 25, 2024 · Segmenting Microorganisms in Multi-modal Volumetric Datasets Using a Modified Watershed Transform. DAGM-Symposium 2002: 429-437. [+] ...
Segmenting microorganisms in multi-modal volumetric datasets using a modified watershed transform. S Bergner, R Pohle, S Al-Zubi, K Tönnies, A Eitner, TR Neu.
2003. Segmenting microorganisms in multi-modal volumetric datasets using a modified watershed transform. S Bergner, R Pohle, S Al-Zubi, K Tönnies, A Eitner ...
This study developed an improved watershed analysis, which defines a dimensionless parameter α to discriminate contacts and necks.
Missing: Microorganisms | Show results with:Microorganisms
Watershed and multimodal data for brain vessel segmentation
www.researchgate.net › ... › Segmentation
In the first part, volume quantization is performed with watershed segmentation technique. Each quantum is represented by three features, vascularity ...
Missing: Microorganisms | Show results with:Microorganisms